diff --git a/DESCRIPTION b/DESCRIPTION
index dcd95b110c5e1d222b5af401cd3488f9a849db3c..9e6473c62f53ba139753f573de0e7b9ef1994903 100644
--- a/DESCRIPTION
+++ b/DESCRIPTION
@@ -1,7 +1,7 @@
Package: MortalityTables
Type: Package
-Version: 1.1
-Date: 2018-04-11
+Version: 2.0
+Date: 2020-08-03
Title: A Framework for Various Types of Mortality / Life Tables
Authors@R: c(person("Reinhold", "Kainhofer", role=c("aut", "cre"), email="reinhold@kainhofer.com"))
Author: Reinhold Kainhofer [aut, cre]
@@ -12,19 +12,22 @@ Depends:
ggplot2,
methods,
scales,
- utils
+ utils,
+ pracma
Suggests:
lifecontingencies,
MortalityLaws,
knitr,
- rmarkdown
+ tidyverse,
+ rmarkdown,
+ reshape2
Description: Classes to implement and plot cohort life tables
for actuarial calculations. In particular, birth-year dependent mortality
tables using a yearly trend to extrapolate from a base year are implemented,
as well as period life table, cohort life tables using an age shift, and
merged life tables.
License: GPL (>= 2)
-RoxygenNote: 6.1.0.9000
+RoxygenNote: 7.1.1
Collate:
'mortalityTable.R'
'mortalityTable.period.R'
diff --git a/NAMESPACE b/NAMESPACE
index c19c35b077bf9d2abf1822067bd568d0c9ee9e82..5d0aea220105352bf2af0b51c9ef297f2f27067d 100644
--- a/NAMESPACE
+++ b/NAMESPACE
@@ -3,6 +3,7 @@
S3method(plot,mortalityTable)
export(deathProbabilitiesIndividual)
export(fillAges)
+export(fitExpExtrapolation)
export(generateAgeShift)
export(mT.addTrend)
export(mT.extrapolateProbsExp)
@@ -80,5 +81,6 @@ exportMethods(transitionProbabilities)
exportMethods(undampenTrend)
import(ggplot2)
import(methods)
+import(pracma)
import(scales)
import(stats)
diff --git a/R/getPeriodTable.R b/R/getPeriodTable.R
index cce0915e3ce52e226b688c4ccc160843b56edf9a..e9d66028c1f8c12444f6e2640d8c76c7533727b8 100644
--- a/R/getPeriodTable.R
+++ b/R/getPeriodTable.R
@@ -5,7 +5,7 @@ NULL
#'
#' @param object The life table object (class inherited from mortalityTable)
#' @param Period The observation year, for which the death probabilities should
-#' be determined
+#' be determined. If missing, the base year of the table is used.
#' @param ... Other parameters (currently unused)
#'
#' @examples
@@ -24,8 +24,11 @@ setGeneric("getPeriodTable",
#' \code{mortalityTable.period} object
setMethod("getPeriodTable","mortalityTable",
function (object, Period, ...) {
+ if(missing(Period)) {
+ Period = baseYear(object)
+ }
mortalityTable.period(
- name = paste(object@name, ", Period ", Period),
+ name = paste0(object@name, ", Period ", Period),
baseYear = Period,
ages = ages(object),
deathProbs = periodDeathProbabilities(object, Period = Period, ...)
diff --git a/R/mortalityTable.observed.R b/R/mortalityTable.observed.R
index 904b5ad0b01d2751e07187f6a9a76a352aacba93..491c17903e0c6abd0e95f71b90ff09a222fc1c54 100644
--- a/R/mortalityTable.observed.R
+++ b/R/mortalityTable.observed.R
@@ -6,7 +6,7 @@ NULL
#' A cohort life table described by actual observations (data frame of PODs
#' per year and age)
#'
-#' @slot data The observations
+#' @slot deathProbs The observed death probabilities (age-specific probability of dying within one year)
#' @slot years The observation years
#' @slot ages The observation ages
#'
diff --git a/R/mortalityTables.list.R b/R/mortalityTables.list.R
index c22fe4c6dbd0227f08e91fe01b4d300a2797e060..dc74f54f688c297f2e60f1936e65d28fcc4538cb 100644
--- a/R/mortalityTables.list.R
+++ b/R/mortalityTables.list.R
@@ -16,7 +16,7 @@
#' @export
mortalityTables.list = function(pattern = "*", package = c("^MortalityTables", "^PensionTables"), prefix = "MortalityTables") {
ret = c()
- pkgs = installed.packages()
+ pkgs = utils::installed.packages()
for (p in pkgs[,1]) {
if (any(sapply(package, grepl, p))) { # package matches the pattern given as argument
filepath = system.file("extdata", package = p);
diff --git a/R/mortalityTables.load.R b/R/mortalityTables.load.R
index ce44f7bdaec40a7e283b99fed29d0d74d029fb9e..cc2df3facd2f781a5a8827e4c0de8023cdb9cb3f 100644
--- a/R/mortalityTables.load.R
+++ b/R/mortalityTables.load.R
@@ -22,7 +22,7 @@ mortalityTables.load = function(dataset, package = c("^MortalityTables", "^Pensi
if (length(sets) == 0) {
warning(sprintf("Unable to locate dataset '%s' provided by the %s package!", dataset, paste(c(package), collapse = " or ")));
}
- pkgs = installed.packages()
+ pkgs = utils::installed.packages()
for (set in sets) {
sname = gsub("[^-A-Za-z0-9_.]", "", set);
message("Loading table dataset '", sname, "'");
diff --git a/R/pensionTable.R b/R/pensionTable.R
index e95c1d3e0e171ce2a6ad817fa9c85a15da0458da..447267161dbf020307fbaf3b694c88c7e510c9ab 100644
--- a/R/pensionTable.R
+++ b/R/pensionTable.R
@@ -69,6 +69,7 @@ pensionTableProbArrange = function(x, q, i, qi, r, ap, api, qp, h, qw, yx, qg, a
#' @slot yx Age difference of the widow to the deceased
#' @slot qgx Death probability of whole group (derived from mortalityTable), irrespective of state
#' @slot invalids.retire Whether invalids retire like actives or stay invalid until death
+#' @slot probs.arrange A function that takes the individual transition probabilities of all the components and creates one object (a data.frame or a list) that will be returned by the method \code{transitionProbabilities}. The default arranges all tables without further modification. However, some pension tables (like the german Heubeck table) require the total mortality to be recalculated from the individual mortalities of actives and disabled. In this case, the function assigned to this slot will also calculate that total probability.
#'
#' @export pensionTable
#' @exportClass pensionTable
diff --git a/R/utilityFunctions.R b/R/utilityFunctions.R
index 24b30bcb9f96c383dbc6a8a5973142a5dd51e0d4..b5bbdfbeadb18f48cf1e653b55dab088a6dae30b 100644
--- a/R/utilityFunctions.R
+++ b/R/utilityFunctions.R
@@ -13,7 +13,7 @@ fitExtrapolationLaw = function(data, ages, data.ages = ages, Dx = NULL, Ex = NUL
fadeOut = intersect(ages, fadeOut)
# Hohe Alter: Fitte Heligman-Pollard im Bereich 75-99
- fitLaw = MortalityLaw(
+ fitLaw = MortalityLaws::MortalityLaw(
x = data.ages, Dx = Dx, Ex = Ex, qx = qx,
law = law, opt.method = method,
fit.this.x = fit)
@@ -55,7 +55,7 @@ fitExtrapolationLaw = function(data, ages, data.ages = ages, Dx = NULL, Ex = NUL
#' @param up Whether the fit is forward- or backward-facing
#' @param verbose Whether to include data about the fit in the output
#'
-# exportMethod fitExpExtrapolation
+#' @export
fitExpExtrapolation = function(data, idx, up = TRUE, verbose = FALSE) {
# browser()
# Anchor point of the extrapolation
@@ -109,7 +109,8 @@ mT.setName = function(table, name) {
}
-
+#' Restrict/expand a mortalityTable to certain ages
+#'
#' Restrict the given \code{mortalityTable} object(s) to given ages, potentially filling with NA values to ensure they cover the full desired age range
#'
#' @param table A life table object (instance of a \code{mortalityTable} class) or a list, table or array of mortalityTable objects
@@ -118,7 +119,8 @@ mT.setName = function(table, name) {
#'
#' @examples
#' mortalityTables.load("Austria_Annuities")
-#' # return a table with only ages 100-130, where ages above 120 (not defined in the original table) are filled with qx=1:
+#' # return a table with only ages 100-130, where ages above 120 (not defined
+#' # in the original table) are filled with qx=1:
#' mT.fillAges(AVOe2005R.male, neededAges = 100:130, fill = 1)
#'
#' @export
@@ -204,7 +206,7 @@ mT.scaleProbs = function(table, factor = 1.0, name.postfix = "scaled", name = NU
#' @param dampingFunction Trend damping (passed on to \code{mortalityTable.trendProjection})
#'
#' @export
-mT.setTrend = function(table, trend, trendages = NULL, baseYear = NULL, dampingFunction = identity) {
+ mT.setTrend = function(table, trend, trendages = NULL, baseYear = NULL, dampingFunction = identity) {
if (is.array(table)) {
return(array(
lapply(table, mT.setTrend, trend = trend, trendages = trendages, baseYear = baseYear, dampingFunction = dampingFunction),
@@ -232,6 +234,22 @@ mT.addTrend = mT.setTrend
+#' Extrapolate a mortality trend exponentially
+#'
+#' Extrapolate a mortality trend in a \code{mortalityTable} object using an exponential function (i.e. the trend decreases towards 0 exponentially).
+#' This is mainly used to extrapolate an observed age-specific trend to very old ages.
+#' Existing trend function values above (or below, respectively) the \code{idx} are overwritten.
+#'
+#' @param table A life table object (instance of a \code{mortalityTable} class) or a list, table or array of mortalityTable objects
+#' @param idx Index (typically age) of the position of the fit
+#' @param up Whether the fit is forward- or backward-facing (i.e. to old or young ages)
+#'
+#' @examples
+#' mortalityTables.load("Austria_Annuities_AVOe2005R")
+#' # extrapolate the trend exponentially from age 95 instead (overwriting the existing trend)
+#' avoe2005exp = mT.extrapolateTrendExp(AVOe2005R.male, 95)
+#' plotMortalityTrend(mT.setName(avoe2005exp, "AVÖ 2005R with trend extrapolated from age 85 up"),
+#' AVOe2005R.male, Period = 2020, ages = 60:120)
#' @export
mT.extrapolateTrendExp = function(table, idx, up = TRUE) {
if (is.array(table)) {
@@ -255,6 +273,53 @@ mT.extrapolateTrendExp = function(table, idx, up = TRUE) {
}
+#' Translate base table of a cohort mortality table to a different observation year
+#'
+#' Translate the base table of a cohort life table to a different observation period,
+#' using the existing base table and the trend functions. This only has an effect on
+#' cohort life tables (e.g. objects of class \code{mortalityTable.trendProjection}).
+#' For all other life tables (period life tables, observed, etc.), this function has no effect.
+#'
+#' This function also does not modify the resulting death probabilities of the life table
+#' object, it just reparameterizes the internal representation of a life table
+#' with trend projection factors.
+#'
+#' This functionality is often needed when publisheing life thables. Typically,
+#' the table is derived from a certain observation period, so the resulting base
+#' table describes the middle of the observation period. Projetion into the future
+#' is then done using trend projection factors starting from that base table.
+#' On the other hand, for the published table it is often desired to tabulate
+#' not the middle of the observation period, but rather the current year as base
+#' year for the extrapolation.
+#' For the resulting period or cohort death probabilities, it is irrelevant, which
+#' base year is used, as long as the shift to another base year (which includes
+#' translating the base mortalities of the base year) is done consistenly with the
+#' trend functions. The function \code{mT.translate} ensures this.
+#'
+#' @param table A life table object (instance of a \code{mortalityTable} class)
+#' or a list, table or array of mortalityTable objects
+#' @param baseYear Target base year. The underlying period life table of the
+#' cohort life table is translated to the desired target base
+#' year by applying the trend factors of the table, resulting
+#' in a consistent shift of the internal representation without
+#' changing the resulting probabilities.
+#' @param name (optional) new name for the mortality table
+#'
+#' @examples
+#' mortalityTables.load("Austria_Annuities_AVOe2005R")
+#' # The AVOe2005R.male.nodamping has 2001 as the base year. Move its base year
+#' # to 2020 without modifying cohort probabilities
+#' avoe05r.shifted = mT.translate(AVOe2005R.male.nodamping, 2020, "AVÖ 2005-R, translated to 2020")
+#' plotMortalityTables(
+#' getPeriodTable(AVOe2005R.male.nodamping),
+#' getPeriodTable(avoe05r.shifted),
+#' title = "Base tables of the AVÖ 2005R a translated version to 2020")
+#' # Even though the base tables are shifted, the resulting probabilities are
+#' # unchanged (except for numeric artefacts)
+#' abs(periodDeathProbabilities(AVOe2005R.male.nodamping, Period = 2050) -
+#' periodDeathProbabilities(avoe05r.shifted, Period = 2050)) < 0.00000001
+#' abs(deathProbabilities(AVOe2005R.male.nodamping, YOB = 2050) -
+#' deathProbabilities(avoe05r.shifted, YOB = 2050)) < 0.00000001
#' @export
mT.translate = function(table, baseYear, name = NULL) {
if (is.array(table)) {
@@ -278,7 +343,31 @@ mT.translate = function(table, baseYear, name = NULL) {
table
}
-
+#' Extrapolate base table of a mortalityTable using an exponential function
+#'
+#' Extrapolate the base table of a \code{mortalityTable} object using an exponential
+#' function (i.e. the death probabilities decreases towards 0 exponentially).
+#' While death probabilities trending towards 0 for old ages is not realistic for
+#' overall deaths, it can be useful to model causes of death that vanish in older age.
+#' It is, however, most useful to extrapolate an observed base table to low ages
+#' (e.g. for an insurance portfolio with practically no persons aged below 16). A
+#' decline towards 0 for low ages makes sense in this case.
+#'
+#' The function needs only one age, from which the extrapolation using an exponential
+#' function is applied. the strength of the exponential function is derived from the death probability at that age.
+#'
+#' @param table A life table object (instance of a \code{mortalityTable} class)
+#' or a list, table or array of mortalityTable objects
+#' @param age Index (typically age) of the position of the fit
+#' @param up Whether the fit is forward- or backward-facing (i.e. to old or young ages)
+#'
+#' @examples
+#' mortalityTables.load("Austria_Census")
+#' # use the Austrian population mortalities for ages 18-95 and exponentially
+#' # extrapolate them to lower ages
+#' AT11.lowAgesExp = mT.extrapolateProbsExp(mort.AT.census.2011.male, 18, up = FALSE)
+#' plotMortalityTables(mT.setName(AT11.lowAgesExp, "Ages below 16 are extrapolated exponentially"),
+#' mort.AT.census.2011.male)
#' @export
mT.extrapolateProbsExp = function(table, age, up = TRUE) {
if (is.array(table)) {
@@ -305,7 +394,43 @@ mT.extrapolateProbsExp = function(table, age, up = TRUE) {
table
}
-
+#' Fit interpolation law to a mortality table and extrapolate
+#'
+#' Fit an extrapolation law (from the \code{MortalityLaws} Package to the base
+#' table of the mortality table and use it for extrapolation.
+#'
+#' The fit is done using the \code{MortalityLaws::MortalityLaw} function, with the ages, death counts, exposures and death rates taken from the \code{table} mortality table object. The law and the fitting method can be given in the \code{mT.fitExtrapolationLaw} with
+#' the law and the fitting method
+#'
+#' The age range \code{fit} is used to fit the law, while extrapolation is
+#' applied only to ages given in parameter \code{extrapolate}. As fitting
+#' does usually not result a smooth transition, a linear fade in or fade out
+#' range can also be provided.
+#'
+#' @param table A life table object (instance of a \code{mortalityTable} class) or a list, table or array of mortalityTable objects
+#' @param method The fitting method (passed on to [MortalityLaw])
+#' @param law The mortality law fitted to the data(passed on to [MortalityLaw])
+#' @param fit Age range to use for the fit
+#' @param extrapolate Desired age range of the extrapolation (i.e. only those
+#' ages will be extrapolated and added to the base table)
+#' @param fadeIn age range to linearly fade in from the existing base table's values to the extrapolated
+#' @param fadeOut age range to linearly fade out from the extrapolated base table's values to the existing
+#' @param raw (optional) raw data to use for fitting. If not given, the raw
+#' probabilities of the table (stored in \code{table@data$rawProbs})
+#' or the table's base table (\code{table@deathProbs}) is used by default.
+#'
+#' @examples
+#' mortalityTables.load("Austria_Census")
+#' # use Austrian population mortalities for ages 18-95 and exponentially
+#' # extrapolate them to lower ages
+#' AT11.lowAges = mT.fitExtrapolationLaw(mort.AT.census.2011.male, law = "opperman",
+#' fit = 5:15, extrapolate = 0:15,
+#' fadeIn = NULL, fadeOut = 5:15)
+#' AT11.oldAges = mT.fitExtrapolationLaw(mort.AT.census.2011.male, law = "HP",
+#' fit = 75:90, extrapolate = 75:120)
+#' plotMortalityTables(mT.setName(AT11.lowAges, "Low ages fitted (ages 5-15 used)"),
+#' mT.setName(AT11.oldAges, "old ages fitted (ages 75-90 used)"),
+#' mort.AT.census.2011.male)
#' @export
mT.fitExtrapolationLaw = function(table, method = "LF2", law = "HP",
fit = 75:99, extrapolate = 80:120,
@@ -353,6 +478,23 @@ mT.fitExtrapolationLaw = function(table, method = "LF2", law = "HP",
table
}
+#' Set additional information (year, description, type of risk, sex, etc.) for the pension table.
+#'
+#' A mortalityTable can store additional information to be used e.g. as additional
+#' dimensions in ggplot calls. Typically, these information include sex, base
+#' population, observation year, type of data (raw, smoothed), country, type of
+#' risk, etc. These additional dimensions are stored in the \code{tbl@data} list
+#' and will be used by plotMortalityTables and similar functions.
+#' \code{pT.setDimInfo} works just like \code{mT.setDimInfo}, except that it sets
+#' the information for all sub-tables of the pension table at the same time.
+#'
+#' @param tbl The \code{pensionTable} object to assign dimensional information
+#' @param ... The dimensional information as named arguments. All names except tbl and append are allowed.
+#' @param append Whether to append to existing dimensional data (append=TRUE) or
+#' completely replace existing information (append=FALSE)
+#'
+#' @examples
+#' # For examples, please see the \code{mT.setDimInfo} function.
#' @export
pT.setDimInfo = function(tbl, ..., append = TRUE) {
if (is.array(tbl)) {
@@ -387,6 +529,29 @@ pT.setDimInfo = function(tbl, ..., append = TRUE) {
}
+#' Set additional information (year, description, type of risk, sex, etc.) for the mortality table.
+#'
+#' A mortalityTable can store additional information to be used e.g. as additional
+#' dimensions in ggplot calls. Typically, these information include sex, base
+#' population, observation year, type of data (raw, smoothed), country, type of
+#' risk, etc. These additional dimensions are stored in the \code{tbl@data} list
+#' and will be used by plotMortalityTables and similar functions.
+#'
+#' @param tbl The \code{mortalityTable} object to assign dimensional information
+#' @param ... The dimensional information as named arguments. All names except tbl and append are allowed.
+#' @param append Whether to append to existing dimensional data (append=TRUE) or
+#' completely replace existing information (append=FALSE)
+#'
+#' @examples
+#' mortalityTables.load("Austria_Census")
+#' mortalityTables.load("Austria_Annuities")
+#' # The annuity tables use the population mortality as starting point. Set either
+#' # population or anuuitants as dimensional info and use that dimension in a ggplot
+#' # Most pre-defined tables already have the most important dimensions (like sex) stored.
+#' at01.m = mT.setDimInfo(mort.AT.census.2001.male, population = "Population")
+#' at01.f = mT.setDimInfo(mort.AT.census.2001.female, population = "Population")
+#' av05r.m = mT.setDimInfo(AVOe2005R.male, population = "Annuitants")
+#' plotMortalityTables(at01.m, at01.f, av05r.m) + aes(linetype = population, color = sex)
#' @export
mT.setDimInfo = function(tbl, ..., append = TRUE) {
if (is.array(tbl)) {
@@ -414,6 +579,39 @@ mT.setDimInfo = function(tbl, ..., append = TRUE) {
}
+#' Extract a sub-table from a pensionTable
+#'
+#' This function \code{pT.getSubTable} allows access to the individual components
+#' of a pension table. In contrast to a "normal" mortalityTable, which describes
+#' probablilities for only mortality or a single population, a pension table
+#' describes transition probabilities for other states, too:
+#' \itemize{
+#' \item active population (i.e. not disabled, not retired)
+#' \item disabled population (occupational disability)
+#' \item old-age pensioners
+#' \item widows/widowers
+#' }
+#'
+#' The corresponding transition probabilities are:
+#' \describe{
+#' \item{qx}{mortality $q^a_x$ of actives (probability of death)}
+#' \item{ix}{morbidity $i_x$ of actives (probability occupational disability)}
+#' \item{qix}{mortality $q^i_x$ of disabled (probability of death)}
+#' \item{rx}{reactivation $r_x$ of invalids (probability of becoming active again)}
+#' \item{qpx}{mortality $q^p_x$ of old-age pensioners}
+#' \item{qgx}{mortality $q^g_x$ of the whole population (including actives and disabled)}
+#' \item{hx}{probability $h_x$ of leaving a widow/widower when dying at age $x$}
+#' \item{yx}{average age $y(x)$ of surviving widow/widower when dying at age $x$}
+#' \item{qwx}{mortality $q^w_x$ of widows}
+#' }
+#'
+#' The function \code{pT.getSubTable} extracts a single transition probability
+#' from the pension table, using the keys given above. The returned object is
+#' also a \code{mortalityTable} object.
+#'
+#' @param table a \code{pensionTable} object
+#' @param subtable the key describing the desired subtable (see above for the full list)
+#'
#' @export
pT.getSubTable = function(table, subtable = "qx") {
if (is.array(table)) {
@@ -439,6 +637,38 @@ pT.getSubTable = function(table, subtable = "qx") {
}
}
+#' Switch over mortalities from one table to another at a given age
+#'
+#' This function modifies a \code{mortalityTable} by switching moralities at a given
+#' age to the mortalities of a second table.
+#'
+#' This function \code{mT.switchover} modifies the given \code{mortalityTable}
+#' and replaces the mortalities starting from a given age by the mortalities
+#' of a second table. By default, the transition from the original table to the
+#' secondary table is a simple 0/1-switch at the given age \code{at}. This is done
+#' internally by using \code{weights= (age >= at)}.
+#'
+#' By giving custom weights, one can also implement a smooth transition to the
+#' secondary table. The weights are used as simple factors of a linear combination
+#' of the two tables.
+#'
+#' @param table The \code{mortalityTable} to modify (transition the probabilities to the secondary table)
+#' @param to The secondary \code{mortalityTable} containing the target probabilities
+#' @param at The age at which to switch over to the secondary table (if \code{weights} are given, the \code{at} argument is ignored).
+#' @param weights (optional) transition weights for transitioning the probabilities from the primary to the secondary table (as a linear combination).
+#'
+#' @examples
+#' mortalityTables.load("Austria_Census")
+#' mort.AT.switchover = mT.switchover(mort.AT.census.2011.male, mort.AT.census.2011.female, 60)
+#' plotMortalityTables(mort.AT.census.2011.male,
+#' mT.setName(mort.AT.switchover, "Switched to female at age 60"))
+#'
+#' # A smooth switchover is possible with custom weights
+#' mort.AT.switchover.smooth = mT.switchover(mort.AT.census.2011.male, mort.AT.census.2011.female,
+#' weights = c(rep(0, 55), 0:20/20, rep(1, 25)))
+#' plotMortalityTables(mort.AT.census.2011.male,
+#' mT.setName(mort.AT.switchover.smooth, "Switched to female smoothly at ages 55-75"))
+#'
#' @export
mT.switchover = function(table, to, at, weights = NULL) {
if (is.array(table)) {
@@ -465,14 +695,33 @@ mT.switchover = function(table, to, at, weights = NULL) {
+#' Round all components of a mortality table to the given number of digits
+#'
+#' The function mt.round rounds all components (base table, potentially also
+#' trend functions or yearly improvement factors) to the given number of
+#' numerical digits. For pensionTable objects, the function is applied to all components
+#'
+#' @param object The mortalityTable object to be rounded (or a list / array of mortalityTable object)
+#' @param digits the desired number of significant digits to round to
+#'
+#' @examples
+#' mortalityTables.load("Austria_Census")
+#' AT.rounded1 = mT.round(mort.AT.census.2011.male, 1)
+#' AT.rounded2 = mT.round(mort.AT.census.2011.male, 2)
+#' AT.rounded3 = mT.round(mort.AT.census.2011.male, 3)
+#' plotMortalityTables(mort.AT.census.2001.male,
+#' mT.setName(AT.rounded1, "rounded to 1 digit"),
+#' mT.setName(AT.rounded3, "rounded to 3 digits"))
+#'
#' @exportMethod mT.round
setGeneric("mT.round", function(object, digits = 8) standardGeneric("mT.round"));
-#' @describeIn setModification Return the life table with the given modification set
+#' @describeIn mT.round Round the given mortalityTable to a given number of digits
setMethod("mT.round", "mortalityTable",
function(object, digits = 8) {
object
})
+#' @describeIn mT.round Round the given period mortality table to a given number of digits (base table and loadings)
setMethod("mT.round", "mortalityTable.period",
function(object, digits = 8) {
o = callNextMethod()
@@ -480,6 +729,7 @@ setMethod("mT.round", "mortalityTable.period",
o@loading = round(o@loading, digits = digits)
o
})
+#' @describeIn mT.round Round the given mortalityTable with trend projection to a given number of digits (base table, loadings and trend(s))
setMethod("mT.round", "mortalityTable.trendProjection",
function(object, digits = 8) {
o = callNextMethod()
@@ -491,6 +741,7 @@ setMethod("mT.round", "mortalityTable.trendProjection",
}
o
})
+#' @describeIn mT.round Round the given mortalityTable with improvement factors to a given number of digits (base table, loadings and improvement factors)
setMethod("mT.round", "mortalityTable.improvementFactors",
function(object, digits = 8) {
o = callNextMethod()
@@ -500,17 +751,20 @@ setMethod("mT.round", "mortalityTable.improvementFactors",
}
o
})
+#' @describeIn mT.round Round the mortalityTables stored in an array to a given number of digits
setMethod("mT.round", "array",
function(object, digits = 8) {
array(
lapply(object, mT.round, digits = digits),
dim = dim(object), dimnames = dimnames(object))
})
+#' @describeIn mT.round Round the mortalityTables stored in a list to a given number of digits
setMethod("mT.round", "list",
function(object, digits = 8) {
lapply(object, mT.round, digits = digits)
})
+#' @describeIn mT.round Round all components of a pensionTable to a given number of digits
setMethod("mT.round", "pensionTable",
function(object, digits = 8) {
object@qx = mT.round(object@qx, digits = digits)
@@ -527,14 +781,50 @@ setMethod("mT.round", "pensionTable",
+#' Remove all non-essential data (raw data, etc.) from a mortalityTable object
+#'
+#' The function mt.cleanup removes all non-essential data from a given mortalityTable
+#' object.
+#'
+#' Mortality tables are often generated from raw data, that is smoothed, extrapolated,
+#' etc. The mortalityTable class and its implementations can internally store the
+#' raw probabilities and the intermediate results and parameters. This method
+#' removes those information. All essential information (base table, ages,
+#' trend functions, etc.) are preserved.
+#'
+#' Removed information includes:
+#' * all elements of the \code{object@data} list, except for \code{dim}
+#' * exposures
+#' * names of named age, deathProbs and trend vectors
+#'
+#' For mortality tables with other mortalityTable components (like pension tables
+#' or mixed tables), all components are cleaned.
+#'
+#' @param object The mortalityTable object to be cleaned.
+#'
+#' @examples
+#' mortalityTables.load("Austria_Census")
+#' # Whittaker-Henderson smoothing stores the raw input and the weights in the
+#' # \code{data} slot of the table:
+#' AT.smoothed = whittaker.mortalityTable(mort.AT.census.2011.male)
+#' AT.smoothed@data$rawProbs
+#' AT.smoothed@data$whittaker
+#'
+#' # cleaning up the table removes those non-essential information again:
+#' AT.smoothed.clean = mT.cleanup(AT.smoothed)
+#' AT.smoothed.clean@data$rawProbs
+#' AT.smoothed.clean@data$whittaker
+#'
#' @exportMethod mT.cleanup
setGeneric("mT.cleanup", function(object) standardGeneric("mT.cleanup"));
+#' @describeIn mT.cleanup Clean up and remove all non-essential data from the mortalityTable object
setMethod("mT.cleanup", "mortalityTable",
function(object) {
object@data = list(dim = object@data$dim)
object
})
+#' @describeIn mT.cleanup Clean up and remove all non-essential data from the mortalityTable.period object
setMethod("mT.cleanup", "mortalityTable.period",
function(object) {
o = callNextMethod()
@@ -543,6 +833,7 @@ setMethod("mT.cleanup", "mortalityTable.period",
o@exposures = NULL
o
})
+#' @describeIn mT.cleanup Clean up and remove all non-essential data from the mortalityTable.trendProjection object
setMethod("mT.cleanup", "mortalityTable.trendProjection",
function(object) {
o = callNextMethod()
@@ -550,17 +841,20 @@ setMethod("mT.cleanup", "mortalityTable.trendProjection",
o@trend2 = unname(o@trend2)
o
})
+#' @describeIn mT.cleanup Clean up and remove all non-essential data from the mortalityTable objects stored in the array
setMethod("mT.cleanup", "array",
function(object) {
array(
lapply(object, mT.cleanup),
dim = dim(object), dimnames = dimnames(object))
})
+#' @describeIn mT.cleanup Clean up and remove all non-essential data from the mortalityTable objects stored in the list
setMethod("mT.cleanup", "list",
function(object) {
lapply(object, mT.cleanup)
})
+#' @describeIn mT.cleanup Clean up and remove all non-essential data from the mortalityTable objects stored in the array
setMethod("mT.cleanup", "pensionTable",
function(object) {
object = callNextMethod()
@@ -577,23 +871,50 @@ setMethod("mT.cleanup", "pensionTable",
})
+#' Calculate the total mortality of the pension table
+#'
+#' The function \code{pT.calculateTotalMortality} calculates the overall mortality from the mortality of actives and disabled
+#'
+#' Since a pension tables describes mortalities of actives and of disabled separately,
+#' the overall mortality is a function of these two. The function \code{pT.calculateTortalMortality}
+#' calculates this overall mortality in a way that is consistent with the
+#' individual transition probabilities of the pension table.
+#'
+#' In particular, the pension table describes the mortalities of the individual
+#' sub-populations of actives, disabled and old-age pensioners. The overall
+#' mortality is the mortality that results when one discards the additional information
+#' about the state and just observes deaths. Internally, the overall mortality
+#' is calculated by starting from 10,000 actives and applying the transition dynamics
+#' of the pension table to the sub-populations.
+#'
+#' For a detailled description, see e.g. the documentation of the Austrian pension
+#' table AVÖ 2018-P or the German Heubeck Table DAV 2005-G.
+#'
+#' @references
+#' R. Kainhofer, J. Hirz, A. Schubert. AVÖ 2018-P: Rechnungsgrundlagen für die Pensionsversicherung. Dokumentation der Pensionstafel. AVÖ-Arbeitskreis Rechnungsgrundlagen, 2008. \url{https://avoe.at/rechnungsgrundlagen/pensionskassen/}
+#'
+#' @param object a \code{pensionTable} object
+#' @param ... (unused)
+#'
#' @export
pT.calculateTotalMortality = function(object, ...) {
probs = transitionProbabilities(object, Period = object@baseYear, as.data.frame = TRUE)
probs$qgALT = probs$qg
- la = head(Reduce('*', (1 - probs$q - probs$i), init = 100000, accumulate = TRUE), -1)
+ la = utils::head(Reduce('*', (1 - probs$q - probs$i), init = 100000, accumulate = TRUE), -1)
lg = la
for (idx in seq_along(lg)) {
probs$qg[idx] = probs$qi[idx] - la[idx]/lg[idx] * (probs$qi[idx] - probs$q[idx] - probs$i[idx] * 1/2 * probs$qi[idx] / (1 - 1/2*probs$qi[idx]))
lg[idx + 1] = lg[idx] * (1 - probs$qg[idx])
}
- lg = head(lg, -1)
+ lg = utils::head(lg, -1)
probs$qg
}
-
+#' @describeIn pT.calculateTotalMortality Calculate the total mortality of a
+#' pension table and assign it to the \code{qgx} slot of that table.
+#'
#' @export
pT.recalculateTotalMortality = function(object, ...) {
if (is.array(table)) {
@@ -614,7 +935,3 @@ pT.recalculateTotalMortality = function(object, ...) {
object
}
-# pensionTables.list()
-# pensionTables.load("*")
-# library(tidyverse)
-# AVOe2008P.male %>% mT.round(digits = 2)
diff --git a/R/whittaker.mortalityTable.R b/R/whittaker.mortalityTable.R
index 7861e2c95e40aa2ce81e6ff04cf345e58eeecd0c..13444b29104a6ee4ae25b59266119ff03722d13f 100644
--- a/R/whittaker.mortalityTable.R
+++ b/R/whittaker.mortalityTable.R
@@ -65,6 +65,7 @@
#' @seealso \code{\link[pracma]{whittaker}}
#'
#' @import scales
+#' @import pracma
#' @export
whittaker.mortalityTable = function(table, lambda = 10, d = 2, name.postfix = ", smoothed", ..., weights = NULL, log = TRUE) {
if (is.array(table)) {
@@ -90,7 +91,7 @@ whittaker.mortalityTable = function(table, lambda = 10, d = 2, name.postfix = ",
ages = table@ages
if (missing(weights) || is.null(weights)) {
- if (is.null(table@exposures) || is.na(table@exposures)) {
+ if (is.null(table@exposures) || any(is.na(table@exposures))) {
weights = rep(1, length(ages))
} else {
weights = table@exposures
diff --git a/man/ageShift.Rd b/man/ageShift.Rd
index e1444066b95a7e101c7e12e8d72133c5b974ba11..2598172d5273e8a445b96a565cd404672d9a206c 100644
--- a/man/ageShift.Rd
+++ b/man/ageShift.Rd
@@ -1,6 +1,5 @@
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/ageShift.R
-\docType{methods}
\name{ageShift}
\alias{ageShift}
\alias{ageShift,mortalityTable-method}
diff --git a/man/ages.Rd b/man/ages.Rd
index ecd8b977f7cb35b0892cfbd5e9aa327db32ab143..cdf0844d0923132d36cd656ebcc84a6450b575b5 100644
--- a/man/ages.Rd
+++ b/man/ages.Rd
@@ -1,7 +1,6 @@
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/ages.R, R/mortalityTable.jointLives.R,
% R/mortalityTable.observed.R
-\docType{methods}
\name{ages}
\alias{ages}
\alias{ages,mortalityTable.period-method}
diff --git a/man/baseTable.Rd b/man/baseTable.Rd
index 98c35374d17b90aa96b5dbf937552d51190e593d..f07c47079d5f5aa49d64298a21aaa53581ef5859 100644
--- a/man/baseTable.Rd
+++ b/man/baseTable.Rd
@@ -1,6 +1,5 @@
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/baseTable.R, R/mortalityTable.jointLives.R
-\docType{methods}
\name{baseTable}
\alias{baseTable}
\alias{baseTable,mortalityTable-method}
diff --git a/man/baseYear.Rd b/man/baseYear.Rd
index bcaa4fde9854857a6ddaf31a1006a2a266f84357..f58ed6b820f2556aa0a5b30acf46840971bec01c 100644
--- a/man/baseYear.Rd
+++ b/man/baseYear.Rd
@@ -1,6 +1,5 @@
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/baseYear.R, R/mortalityTable.jointLives.R
-\docType{methods}
\name{baseYear}
\alias{baseYear}
\alias{baseYear,mortalityTable-method}
diff --git a/man/calculateImprovements.Rd b/man/calculateImprovements.Rd
index c6737a5f98797ebef05632df5c9610c5b90e6bc1..5ff188e3b88e74ba3eb1b78a1b6f5a393610f4aa 100644
--- a/man/calculateImprovements.Rd
+++ b/man/calculateImprovements.Rd
@@ -1,6 +1,5 @@
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/mortalityTable.improvementFactors.R
-\docType{methods}
\name{calculateImprovements}
\alias{calculateImprovements}
\alias{calculateImprovements,mortalityTable.improvementFactors-method}
@@ -9,9 +8,7 @@
\usage{
calculateImprovements(object, ...)
-
- \S4method{calculateImprovements}{mortalityTable.improvementFactors}(object,
- ..., Period = NULL, YOB = 1982)
+\S4method{calculateImprovements}{mortalityTable.improvementFactors}(object, ..., Period = NULL, YOB = 1982)
}
\arguments{
\item{object}{A pension table object (instance of a \code{\linkS4class{mortalityTable.improvementFactors}} class)}
diff --git a/man/commutationNumbers.Rd b/man/commutationNumbers.Rd
index 28217342fc02760672ebbb5d5be075e79e03a31e..0e251f9e2cca77dc38ea812de682e1737efce766 100644
--- a/man/commutationNumbers.Rd
+++ b/man/commutationNumbers.Rd
@@ -1,6 +1,5 @@
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/commutationNumbers.R
-\docType{methods}
\name{commutationNumbers}
\alias{commutationNumbers}
\alias{commutationNumbers,mortalityTable-method}
@@ -10,13 +9,11 @@
\usage{
commutationNumbers(object, ..., ages = NULL, i = 0.03)
-\S4method{commutationNumbers}{mortalityTable}(object, ..., ages = NULL,
- i = 0.03)
+\S4method{commutationNumbers}{mortalityTable}(object, ..., ages = NULL, i = 0.03)
\S4method{commutationNumbers}{numeric}(object, ages, i = 0.03)
-\S4method{commutationNumbers}{pensionTable}(object, ..., ages = NULL,
- i = 0.03)
+\S4method{commutationNumbers}{pensionTable}(object, ..., ages = NULL, i = 0.03)
}
\arguments{
\item{object}{The life table object (class inherited from mortalityTable)}
diff --git a/man/deathProbabilities.Rd b/man/deathProbabilities.Rd
index 6f5e0a8e63031f54167b69555efa7e88e622ad61..e89bcaa3022f0ef7753ac362bd37890281f21aba 100644
--- a/man/deathProbabilities.Rd
+++ b/man/deathProbabilities.Rd
@@ -1,7 +1,6 @@
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/deathProbabilities.R,
% R/mortalityTable.jointLives.R, R/mortalityTable.observed.R
-\docType{methods}
\name{deathProbabilities}
\alias{deathProbabilities}
\alias{deathProbabilities,mortalityTable.period-method}
@@ -15,26 +14,19 @@
\usage{
deathProbabilities(object, ..., ages = NULL, YOB = 1975)
-\S4method{deathProbabilities}{mortalityTable.period}(object, ...,
- ages = NULL, YOB = 1975)
+\S4method{deathProbabilities}{mortalityTable.period}(object, ..., ages = NULL, YOB = 1975)
-\S4method{deathProbabilities}{mortalityTable.ageShift}(object, ...,
- ages = NULL, YOB = 1975)
+\S4method{deathProbabilities}{mortalityTable.ageShift}(object, ..., ages = NULL, YOB = 1975)
-\S4method{deathProbabilities}{mortalityTable.trendProjection}(object, ...,
- ages = NULL, YOB = 1975)
+\S4method{deathProbabilities}{mortalityTable.trendProjection}(object, ..., ages = NULL, YOB = 1975)
-\S4method{deathProbabilities}{mortalityTable.improvementFactors}(object,
- ..., ages = NULL, YOB = 1975)
+\S4method{deathProbabilities}{mortalityTable.improvementFactors}(object, ..., ages = NULL, YOB = 1975)
-\S4method{deathProbabilities}{mortalityTable.mixed}(object, ...,
- ages = NULL, YOB = 1975)
+\S4method{deathProbabilities}{mortalityTable.mixed}(object, ..., ages = NULL, YOB = 1975)
-\S4method{deathProbabilities}{mortalityTable.jointLives}(object, ...,
- ageDifferences = c(), ages = NULL, YOB = 1975)
+\S4method{deathProbabilities}{mortalityTable.jointLives}(object, ..., ageDifferences = c(), ages = NULL, YOB = 1975)
-\S4method{deathProbabilities}{mortalityTable.observed}(object, ...,
- ages = NULL, YOB = 1975)
+\S4method{deathProbabilities}{mortalityTable.observed}(object, ..., ages = NULL, YOB = 1975)
}
\arguments{
\item{object}{The life table object (class inherited from mortalityTable)}
diff --git a/man/fillAges.Rd b/man/fillAges.Rd
index f3bb2fdddf62bd1852a02a0448af2b5ead344010..02d6fe748cf6dbc00c69e67b7f118a4613f814c5 100644
--- a/man/fillAges.Rd
+++ b/man/fillAges.Rd
@@ -4,8 +4,7 @@
\alias{fillAges}
\title{Fill the given probabilities with NA to match the desired age range.}
\usage{
-fillAges(probs = c(), givenAges = c(), neededAges = NULL,
- fill = NA_real_)
+fillAges(probs = c(), givenAges = c(), neededAges = NULL, fill = NA_real_)
}
\arguments{
\item{probs}{Numeric vector}
diff --git a/man/getCohortTable.Rd b/man/getCohortTable.Rd
index 9a0386475b9cfc799688a2347b768b05752958da..0b868ababdbdebfab5078a9a78f66ea14bd4599c 100644
--- a/man/getCohortTable.Rd
+++ b/man/getCohortTable.Rd
@@ -1,6 +1,5 @@
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/getCohortTable.R
-\docType{methods}
\name{getCohortTable}
\alias{getCohortTable}
\alias{getCohortTable,mortalityTable-method}
diff --git a/man/getOmega.Rd b/man/getOmega.Rd
index 5bce498a36cce7232ff7d525959aac87d2125107..0fa3c94d29d8b818a8056b9145abfcbfcb147f9d 100644
--- a/man/getOmega.Rd
+++ b/man/getOmega.Rd
@@ -1,7 +1,6 @@
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/getOmega.R, R/mortalityTable.jointLives.R,
% R/mortalityTable.observed.R
-\docType{methods}
\name{getOmega}
\alias{getOmega}
\alias{getOmega,mortalityTable.period-method}
diff --git a/man/getPeriodTable.Rd b/man/getPeriodTable.Rd
index 593791f83f345a35f4b365dc09f7b7c9241c2d70..b2172943a85435af4301e386ce4ef616207e6440 100644
--- a/man/getPeriodTable.Rd
+++ b/man/getPeriodTable.Rd
@@ -1,6 +1,5 @@
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/getPeriodTable.R
-\docType{methods}
\name{getPeriodTable}
\alias{getPeriodTable}
\alias{getPeriodTable,mortalityTable-method}
@@ -14,7 +13,7 @@ getPeriodTable(object, Period, ...)
\item{object}{The life table object (class inherited from mortalityTable)}
\item{Period}{The observation year, for which the death probabilities should
-be determined}
+be determined. If missing, the base year of the table is used.}
\item{...}{Other parameters (currently unused)}
}
diff --git a/man/lifeTable.Rd b/man/lifeTable.Rd
index f649a4db2f0305d67c5cbae69485f8a655b70985..356755406533383684917a449b7c829c3a018891 100644
--- a/man/lifeTable.Rd
+++ b/man/lifeTable.Rd
@@ -1,6 +1,5 @@
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/lifeTable.R
-\docType{methods}
\name{lifeTable}
\alias{lifeTable}
\alias{lifeTable,mortalityTable-method}
diff --git a/man/mT.cleanup.Rd b/man/mT.cleanup.Rd
new file mode 100644
index 0000000000000000000000000000000000000000..54658f441b1c753d21febea00920c62a2ae25fbe
--- /dev/null
+++ b/man/mT.cleanup.Rd
@@ -0,0 +1,82 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/utilityFunctions.R, R/mortalityTable.observed.R
+\name{mT.cleanup}
+\alias{mT.cleanup}
+\alias{mT.cleanup,mortalityTable-method}
+\alias{mT.cleanup,mortalityTable.period-method}
+\alias{mT.cleanup,mortalityTable.trendProjection-method}
+\alias{mT.cleanup,array-method}
+\alias{mT.cleanup,list-method}
+\alias{mT.cleanup,pensionTable-method}
+\alias{mT.cleanup,mortalityTable.observed-method}
+\title{Remove all non-essential data (raw data, etc.) from a mortalityTable object}
+\usage{
+mT.cleanup(object)
+
+\S4method{mT.cleanup}{mortalityTable}(object)
+
+\S4method{mT.cleanup}{mortalityTable.period}(object)
+
+\S4method{mT.cleanup}{mortalityTable.trendProjection}(object)
+
+\S4method{mT.cleanup}{array}(object)
+
+\S4method{mT.cleanup}{list}(object)
+
+\S4method{mT.cleanup}{pensionTable}(object)
+
+\S4method{mT.cleanup}{mortalityTable.observed}(object)
+}
+\arguments{
+\item{object}{The mortalityTable object to be cleaned.}
+}
+\description{
+The function mt.cleanup removes all non-essential data from a given mortalityTable
+object.
+}
+\details{
+Mortality tables are often generated from raw data, that is smoothed, extrapolated,
+etc. The mortalityTable class and its implementations can internally store the
+raw probabilities and the intermediate results and parameters. This method
+removes those information. All essential information (base table, ages,
+trend functions, etc.) are preserved.
+
+Removed information includes:
+ * all elements of the \code{object@data} list, except for \code{dim}
+ * exposures
+ * names of named age, deathProbs and trend vectors
+
+For mortality tables with other mortalityTable components (like pension tables
+or mixed tables), all components are cleaned.
+}
+\section{Methods (by class)}{
+\itemize{
+\item \code{mortalityTable}: Clean up and remove all non-essential data from the mortalityTable object
+
+\item \code{mortalityTable.period}: Clean up and remove all non-essential data from the mortalityTable.period object
+
+\item \code{mortalityTable.trendProjection}: Clean up and remove all non-essential data from the mortalityTable.trendProjection object
+
+\item \code{array}: Clean up and remove all non-essential data from the mortalityTable objects stored in the array
+
+\item \code{list}: Clean up and remove all non-essential data from the mortalityTable objects stored in the list
+
+\item \code{pensionTable}: Clean up and remove all non-essential data from the mortalityTable objects stored in the array
+
+\item \code{mortalityTable.observed}: Clean up the internal data of the mortality table
+}}
+
+\examples{
+mortalityTables.load("Austria_Census")
+# Whittaker-Henderson smoothing stores the raw input and the weights in the
+# \code{data} slot of the table:
+AT.smoothed = whittaker.mortalityTable(mort.AT.census.2011.male)
+AT.smoothed@data$rawProbs
+AT.smoothed@data$whittaker
+
+# cleaning up the table removes those non-essential information again:
+AT.smoothed.clean = mT.cleanup(AT.smoothed)
+AT.smoothed.clean@data$rawProbs
+AT.smoothed.clean@data$whittaker
+
+}
diff --git a/man/mT.extrapolateProbsExp.Rd b/man/mT.extrapolateProbsExp.Rd
new file mode 100644
index 0000000000000000000000000000000000000000..9395da5d97db94370129eac58d30c2917229c037
--- /dev/null
+++ b/man/mT.extrapolateProbsExp.Rd
@@ -0,0 +1,37 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/utilityFunctions.R
+\name{mT.extrapolateProbsExp}
+\alias{mT.extrapolateProbsExp}
+\title{Extrapolate base table of a mortalityTable using an exponential function}
+\usage{
+mT.extrapolateProbsExp(table, age, up = TRUE)
+}
+\arguments{
+\item{table}{A life table object (instance of a \code{mortalityTable} class)
+or a list, table or array of mortalityTable objects}
+
+\item{age}{Index (typically age) of the position of the fit}
+
+\item{up}{Whether the fit is forward- or backward-facing (i.e. to old or young ages)}
+}
+\description{
+Extrapolate the base table of a \code{mortalityTable} object using an exponential
+function (i.e. the death probabilities decreases towards 0 exponentially).
+While death probabilities trending towards 0 for old ages is not realistic for
+overall deaths, it can be useful to model causes of death that vanish in older age.
+It is, however, most useful to extrapolate an observed base table to low ages
+(e.g. for an insurance portfolio with practically no persons aged below 16). A
+decline towards 0 for low ages makes sense in this case.
+}
+\details{
+The function needs only one age, from which the extrapolation using an exponential
+function is applied. the strength of the exponential function is derived from the death probability at that age.
+}
+\examples{
+mortalityTables.load("Austria_Census")
+# use the Austrian population mortalities for ages 18-95 and exponentially
+# extrapolate them to lower ages
+AT11.lowAgesExp = mT.extrapolateProbsExp(mort.AT.census.2011.male, 18, up = FALSE)
+plotMortalityTables(mT.setName(AT11.lowAgesExp, "Ages below 16 are extrapolated exponentially"),
+ mort.AT.census.2011.male)
+}
diff --git a/man/mT.extrapolateTrendExp.Rd b/man/mT.extrapolateTrendExp.Rd
new file mode 100644
index 0000000000000000000000000000000000000000..b59f4cd58f710796411038deb4f665d178d16fb3
--- /dev/null
+++ b/man/mT.extrapolateTrendExp.Rd
@@ -0,0 +1,27 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/utilityFunctions.R
+\name{mT.extrapolateTrendExp}
+\alias{mT.extrapolateTrendExp}
+\title{Extrapolate a mortality trend exponentially}
+\usage{
+mT.extrapolateTrendExp(table, idx, up = TRUE)
+}
+\arguments{
+\item{table}{A life table object (instance of a \code{mortalityTable} class) or a list, table or array of mortalityTable objects}
+
+\item{idx}{Index (typically age) of the position of the fit}
+
+\item{up}{Whether the fit is forward- or backward-facing (i.e. to old or young ages)}
+}
+\description{
+Extrapolate a mortality trend in a \code{mortalityTable} object using an exponential function (i.e. the trend decreases towards 0 exponentially).
+This is mainly used to extrapolate an observed age-specific trend to very old ages.
+Existing trend function values above (or below, respectively) the \code{idx} are overwritten.
+}
+\examples{
+mortalityTables.load("Austria_Annuities_AVOe2005R")
+# extrapolate the trend exponentially from age 95 instead (overwriting the existing trend)
+avoe2005exp = mT.extrapolateTrendExp(AVOe2005R.male, 95)
+plotMortalityTrend(mT.setName(avoe2005exp, "AVÖ 2005R with trend extrapolated from age 85 up"),
+ AVOe2005R.male, Period = 2020, ages = 60:120)
+}
diff --git a/man/mT.fillAges.Rd b/man/mT.fillAges.Rd
index abff96fd9a029a92fbf9417a444ecfbadefdd20d..282bf790cfaf1388fda7a7302390e5b3064dc28e 100644
--- a/man/mT.fillAges.Rd
+++ b/man/mT.fillAges.Rd
@@ -2,7 +2,7 @@
% Please edit documentation in R/utilityFunctions.R
\name{mT.fillAges}
\alias{mT.fillAges}
-\title{Restrict the given \code{mortalityTable} object(s) to given ages, potentially filling with NA values to ensure they cover the full desired age range}
+\title{Restrict/expand a mortalityTable to certain ages}
\usage{
mT.fillAges(table, neededAges, fill = 0)
}
@@ -18,7 +18,8 @@ Restrict the given \code{mortalityTable} object(s) to given ages, potentially fi
}
\examples{
mortalityTables.load("Austria_Annuities")
-# return a table with only ages 100-130, where ages above 120 (not defined in the original table) are filled with qx=1:
+# return a table with only ages 100-130, where ages above 120 (not defined
+# in the original table) are filled with qx=1:
mT.fillAges(AVOe2005R.male, neededAges = 100:130, fill = 1)
}
diff --git a/man/mT.fitExtrapolationLaw.Rd b/man/mT.fitExtrapolationLaw.Rd
new file mode 100644
index 0000000000000000000000000000000000000000..d330e1ba52de6ce9ead61711203a7a4f4e7de8f2
--- /dev/null
+++ b/man/mT.fitExtrapolationLaw.Rd
@@ -0,0 +1,63 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/utilityFunctions.R
+\name{mT.fitExtrapolationLaw}
+\alias{mT.fitExtrapolationLaw}
+\title{Fit interpolation law to a mortality table and extrapolate}
+\usage{
+mT.fitExtrapolationLaw(
+ table,
+ method = "LF2",
+ law = "HP",
+ fit = 75:99,
+ extrapolate = 80:120,
+ fadeIn = 80:90,
+ fadeOut = NULL,
+ raw = NULL
+)
+}
+\arguments{
+\item{table}{A life table object (instance of a \code{mortalityTable} class) or a list, table or array of mortalityTable objects}
+
+\item{method}{The fitting method (passed on to [MortalityLaw])}
+
+\item{law}{The mortality law fitted to the data(passed on to [MortalityLaw])}
+
+\item{fit}{Age range to use for the fit}
+
+\item{extrapolate}{Desired age range of the extrapolation (i.e. only those
+ages will be extrapolated and added to the base table)}
+
+\item{fadeIn}{age range to linearly fade in from the existing base table's values to the extrapolated}
+
+\item{fadeOut}{age range to linearly fade out from the extrapolated base table's values to the existing}
+
+\item{raw}{(optional) raw data to use for fitting. If not given, the raw
+probabilities of the table (stored in \code{table@data$rawProbs})
+or the table's base table (\code{table@deathProbs}) is used by default.}
+}
+\description{
+Fit an extrapolation law (from the \code{MortalityLaws} Package to the base
+table of the mortality table and use it for extrapolation.
+}
+\details{
+The fit is done using the \code{MortalityLaws::MortalityLaw} function, with the ages, death counts, exposures and death rates taken from the \code{table} mortality table object. The law and the fitting method can be given in the \code{mT.fitExtrapolationLaw} with
+the law and the fitting method
+
+The age range \code{fit} is used to fit the law, while extrapolation is
+applied only to ages given in parameter \code{extrapolate}. As fitting
+does usually not result a smooth transition, a linear fade in or fade out
+range can also be provided.
+}
+\examples{
+mortalityTables.load("Austria_Census")
+# use Austrian population mortalities for ages 18-95 and exponentially
+# extrapolate them to lower ages
+AT11.lowAges = mT.fitExtrapolationLaw(mort.AT.census.2011.male, law = "opperman",
+ fit = 5:15, extrapolate = 0:15,
+ fadeIn = NULL, fadeOut = 5:15)
+AT11.oldAges = mT.fitExtrapolationLaw(mort.AT.census.2011.male, law = "HP",
+ fit = 75:90, extrapolate = 75:120)
+plotMortalityTables(mT.setName(AT11.lowAges, "Low ages fitted (ages 5-15 used)"),
+ mT.setName(AT11.oldAges, "old ages fitted (ages 75-90 used)"),
+ mort.AT.census.2011.male)
+}
diff --git a/man/mT.round.Rd b/man/mT.round.Rd
new file mode 100644
index 0000000000000000000000000000000000000000..7762b357ddc4175a41acf51f8215b3b86aec8fd4
--- /dev/null
+++ b/man/mT.round.Rd
@@ -0,0 +1,71 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/utilityFunctions.R, R/mortalityTable.observed.R
+\name{mT.round}
+\alias{mT.round}
+\alias{mT.round,mortalityTable-method}
+\alias{mT.round,mortalityTable.period-method}
+\alias{mT.round,mortalityTable.trendProjection-method}
+\alias{mT.round,mortalityTable.improvementFactors-method}
+\alias{mT.round,array-method}
+\alias{mT.round,list-method}
+\alias{mT.round,pensionTable-method}
+\alias{mT.round,mortalityTable.observed-method}
+\title{Round all components of a mortality table to the given number of digits}
+\usage{
+mT.round(object, digits = 8)
+
+\S4method{mT.round}{mortalityTable}(object, digits = 8)
+
+\S4method{mT.round}{mortalityTable.period}(object, digits = 8)
+
+\S4method{mT.round}{mortalityTable.trendProjection}(object, digits = 8)
+
+\S4method{mT.round}{mortalityTable.improvementFactors}(object, digits = 8)
+
+\S4method{mT.round}{array}(object, digits = 8)
+
+\S4method{mT.round}{list}(object, digits = 8)
+
+\S4method{mT.round}{pensionTable}(object, digits = 8)
+
+\S4method{mT.round}{mortalityTable.observed}(object, digits = 8)
+}
+\arguments{
+\item{object}{The mortalityTable object to be rounded (or a list / array of mortalityTable object)}
+
+\item{digits}{the desired number of significant digits to round to}
+}
+\description{
+The function mt.round rounds all components (base table, potentially also
+trend functions or yearly improvement factors) to the given number of
+numerical digits. For pensionTable objects, the function is applied to all components
+}
+\section{Methods (by class)}{
+\itemize{
+\item \code{mortalityTable}: Round the given mortalityTable to a given number of digits
+
+\item \code{mortalityTable.period}: Round the given period mortality table to a given number of digits (base table and loadings)
+
+\item \code{mortalityTable.trendProjection}: Round the given mortalityTable with trend projection to a given number of digits (base table, loadings and trend(s))
+
+\item \code{mortalityTable.improvementFactors}: Round the given mortalityTable with improvement factors to a given number of digits (base table, loadings and improvement factors)
+
+\item \code{array}: Round the mortalityTables stored in an array to a given number of digits
+
+\item \code{list}: Round the mortalityTables stored in a list to a given number of digits
+
+\item \code{pensionTable}: Round all components of a pensionTable to a given number of digits
+
+\item \code{mortalityTable.observed}: Return the life table with the values rounded to the given number of digits
+}}
+
+\examples{
+mortalityTables.load("Austria_Census")
+AT.rounded1 = mT.round(mort.AT.census.2011.male, 1)
+AT.rounded2 = mT.round(mort.AT.census.2011.male, 2)
+AT.rounded3 = mT.round(mort.AT.census.2011.male, 3)
+plotMortalityTables(mort.AT.census.2001.male,
+ mT.setName(AT.rounded1, "rounded to 1 digit"),
+ mT.setName(AT.rounded3, "rounded to 3 digits"))
+
+}
diff --git a/man/mT.scaleProbs.Rd b/man/mT.scaleProbs.Rd
index a2c799d094d19142f203af88ec004016cc2554c5..dbf4d4ef22f871c99978ae2a06e54abf2c7d949c 100644
--- a/man/mT.scaleProbs.Rd
+++ b/man/mT.scaleProbs.Rd
@@ -4,8 +4,7 @@
\alias{mT.scaleProbs}
\title{Scale all probabilities of the given \code{mortalityTable} object(s) by the given factor}
\usage{
-mT.scaleProbs(table, factor = 1, name.postfix = "scaled",
- name = NULL)
+mT.scaleProbs(table, factor = 1, name.postfix = "scaled", name = NULL)
}
\arguments{
\item{table}{A life table object (instance of a \code{mortalityTable} class) or a list, table or array of mortalityTable objects}
diff --git a/man/mT.setDimInfo.Rd b/man/mT.setDimInfo.Rd
new file mode 100644
index 0000000000000000000000000000000000000000..c6b92686fec0b616097392b2251f4c0fa5c4e168
--- /dev/null
+++ b/man/mT.setDimInfo.Rd
@@ -0,0 +1,34 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/utilityFunctions.R
+\name{mT.setDimInfo}
+\alias{mT.setDimInfo}
+\title{Set additional information (year, description, type of risk, sex, etc.) for the mortality table.}
+\usage{
+mT.setDimInfo(tbl, ..., append = TRUE)
+}
+\arguments{
+\item{tbl}{The \code{mortalityTable} object to assign dimensional information}
+
+\item{...}{The dimensional information as named arguments. All names except tbl and append are allowed.}
+
+\item{append}{Whether to append to existing dimensional data (append=TRUE) or
+completely replace existing information (append=FALSE)}
+}
+\description{
+A mortalityTable can store additional information to be used e.g. as additional
+dimensions in ggplot calls. Typically, these information include sex, base
+population, observation year, type of data (raw, smoothed), country, type of
+risk, etc. These additional dimensions are stored in the \code{tbl@data} list
+and will be used by plotMortalityTables and similar functions.
+}
+\examples{
+mortalityTables.load("Austria_Census")
+mortalityTables.load("Austria_Annuities")
+# The annuity tables use the population mortality as starting point. Set either
+# population or anuuitants as dimensional info and use that dimension in a ggplot
+# Most pre-defined tables already have the most important dimensions (like sex) stored.
+at01.m = mT.setDimInfo(mort.AT.census.2001.male, population = "Population")
+at01.f = mT.setDimInfo(mort.AT.census.2001.female, population = "Population")
+av05r.m = mT.setDimInfo(AVOe2005R.male, population = "Annuitants")
+plotMortalityTables(at01.m, at01.f, av05r.m) + aes(linetype = population, color = sex)
+}
diff --git a/man/mT.setTrend.Rd b/man/mT.setTrend.Rd
index 231fbdabd748925f28d1bbd3f816cb0b50489e16..f6dc57a7160f46eefc976f949f1e8ef48ac7b222 100644
--- a/man/mT.setTrend.Rd
+++ b/man/mT.setTrend.Rd
@@ -5,11 +5,21 @@
\alias{mT.addTrend}
\title{Set/Add a trend vector for the probabilities of the given \code{mortalityTable} object(s). Returns a \code{mortalityTable.trendProjection} object}
\usage{
-mT.setTrend(table, trend, trendages = NULL, baseYear = NULL,
- dampingFunction = identity)
+mT.setTrend(
+ table,
+ trend,
+ trendages = NULL,
+ baseYear = NULL,
+ dampingFunction = identity
+)
-mT.addTrend(table, trend, trendages = NULL, baseYear = NULL,
- dampingFunction = identity)
+mT.addTrend(
+ table,
+ trend,
+ trendages = NULL,
+ baseYear = NULL,
+ dampingFunction = identity
+)
}
\arguments{
\item{table}{A life table object (instance of a \code{mortalityTable} class) or a list, table or array of mortalityTable objects}
diff --git a/man/mT.switchover.Rd b/man/mT.switchover.Rd
new file mode 100644
index 0000000000000000000000000000000000000000..623c5d00be14759ae415d0b5503c48d07dc91242
--- /dev/null
+++ b/man/mT.switchover.Rd
@@ -0,0 +1,45 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/utilityFunctions.R
+\name{mT.switchover}
+\alias{mT.switchover}
+\title{Switch over mortalities from one table to another at a given age}
+\usage{
+mT.switchover(table, to, at, weights = NULL)
+}
+\arguments{
+\item{table}{The \code{mortalityTable} to modify (transition the probabilities to the secondary table)}
+
+\item{to}{The secondary \code{mortalityTable} containing the target probabilities}
+
+\item{at}{The age at which to switch over to the secondary table (if \code{weights} are given, the \code{at} argument is ignored).}
+
+\item{weights}{(optional) transition weights for transitioning the probabilities from the primary to the secondary table (as a linear combination).}
+}
+\description{
+This function modifies a \code{mortalityTable} by switching moralities at a given
+age to the mortalities of a second table.
+}
+\details{
+This function \code{mT.switchover} modifies the given \code{mortalityTable}
+and replaces the mortalities starting from a given age by the mortalities
+of a second table. By default, the transition from the original table to the
+secondary table is a simple 0/1-switch at the given age \code{at}. This is done
+internally by using \code{weights= (age >= at)}.
+
+By giving custom weights, one can also implement a smooth transition to the
+secondary table. The weights are used as simple factors of a linear combination
+of the two tables.
+}
+\examples{
+mortalityTables.load("Austria_Census")
+mort.AT.switchover = mT.switchover(mort.AT.census.2011.male, mort.AT.census.2011.female, 60)
+plotMortalityTables(mort.AT.census.2011.male,
+ mT.setName(mort.AT.switchover, "Switched to female at age 60"))
+
+# A smooth switchover is possible with custom weights
+mort.AT.switchover.smooth = mT.switchover(mort.AT.census.2011.male, mort.AT.census.2011.female,
+ weights = c(rep(0, 55), 0:20/20, rep(1, 25)))
+plotMortalityTables(mort.AT.census.2011.male,
+ mT.setName(mort.AT.switchover.smooth, "Switched to female smoothly at ages 55-75"))
+
+}
diff --git a/man/mT.translate.Rd b/man/mT.translate.Rd
new file mode 100644
index 0000000000000000000000000000000000000000..dde6cc1c0c4c2596b52e9d95b2900a2bd03c1ecf
--- /dev/null
+++ b/man/mT.translate.Rd
@@ -0,0 +1,59 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/utilityFunctions.R
+\name{mT.translate}
+\alias{mT.translate}
+\title{Translate base table of a cohort mortality table to a different observation year}
+\usage{
+mT.translate(table, baseYear, name = NULL)
+}
+\arguments{
+\item{table}{A life table object (instance of a \code{mortalityTable} class)
+or a list, table or array of mortalityTable objects}
+
+\item{baseYear}{Target base year. The underlying period life table of the
+cohort life table is translated to the desired target base
+year by applying the trend factors of the table, resulting
+in a consistent shift of the internal representation without
+changing the resulting probabilities.}
+
+\item{name}{(optional) new name for the mortality table}
+}
+\description{
+Translate the base table of a cohort life table to a different observation period,
+using the existing base table and the trend functions. This only has an effect on
+cohort life tables (e.g. objects of class \code{mortalityTable.trendProjection}).
+For all other life tables (period life tables, observed, etc.), this function has no effect.
+}
+\details{
+This function also does not modify the resulting death probabilities of the life table
+object, it just reparameterizes the internal representation of a life table
+with trend projection factors.
+
+This functionality is often needed when publisheing life thables. Typically,
+the table is derived from a certain observation period, so the resulting base
+table describes the middle of the observation period. Projetion into the future
+is then done using trend projection factors starting from that base table.
+On the other hand, for the published table it is often desired to tabulate
+not the middle of the observation period, but rather the current year as base
+year for the extrapolation.
+For the resulting period or cohort death probabilities, it is irrelevant, which
+base year is used, as long as the shift to another base year (which includes
+translating the base mortalities of the base year) is done consistenly with the
+trend functions. The function \code{mT.translate} ensures this.
+}
+\examples{
+mortalityTables.load("Austria_Annuities_AVOe2005R")
+# The AVOe2005R.male.nodamping has 2001 as the base year. Move its base year
+# to 2020 without modifying cohort probabilities
+avoe05r.shifted = mT.translate(AVOe2005R.male.nodamping, 2020, "AVÖ 2005-R, translated to 2020")
+plotMortalityTables(
+ getPeriodTable(AVOe2005R.male.nodamping),
+ getPeriodTable(avoe05r.shifted),
+ title = "Base tables of the AVÖ 2005R a translated version to 2020")
+# Even though the base tables are shifted, the resulting probabilities are
+# unchanged (except for numeric artefacts)
+abs(periodDeathProbabilities(AVOe2005R.male.nodamping, Period = 2050) -
+ periodDeathProbabilities(avoe05r.shifted, Period = 2050)) < 0.00000001
+abs(deathProbabilities(AVOe2005R.male.nodamping, YOB = 2050) -
+ deathProbabilities(avoe05r.shifted, YOB = 2050)) < 0.00000001
+}
diff --git a/man/mortalityImprovement.Rd b/man/mortalityImprovement.Rd
index 1d6983e54a9267403853e73039796b75f544b552..793aa39a91362815e86a91e39fd84e0f22f79b4c 100644
--- a/man/mortalityImprovement.Rd
+++ b/man/mortalityImprovement.Rd
@@ -1,6 +1,5 @@
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/mortalityImprovement.R
-\docType{methods}
\name{mortalityImprovement}
\alias{mortalityImprovement}
\alias{mortalityImprovement,mortalityTable-method}
@@ -8,8 +7,7 @@
\usage{
mortalityImprovement(object, ..., Period = NULL, YOB = 1975)
-\S4method{mortalityImprovement}{mortalityTable}(object, ...,
- Period = NULL, YOB = 1975)
+\S4method{mortalityImprovement}{mortalityTable}(object, ..., Period = NULL, YOB = 1975)
}
\arguments{
\item{object}{The life table object (class inherited from mortalityTable)}
diff --git a/man/mortalityTable.NA.Rd b/man/mortalityTable.NA.Rd
index 1afdd284a16995552008a437b934cd843c911eee..d79884c3bfc568cd0a480dc8a40760eb97aac7cb 100644
--- a/man/mortalityTable.NA.Rd
+++ b/man/mortalityTable.NA.Rd
@@ -4,7 +4,9 @@
\name{mortalityTable.NA}
\alias{mortalityTable.NA}
\title{Empty mortality table indicating NA}
-\format{An object of class \code{mortalityTable.period} of length 1.}
+\format{
+An object of class \code{mortalityTable.period} of length 1.
+}
\usage{
mortalityTable.NA
}
diff --git a/man/mortalityTable.observed-class.Rd b/man/mortalityTable.observed-class.Rd
index f02407c817bfadc88b91dd077ba539ba33bb9ed0..4a58a5ae1b4fb9dbe753d2570451062b87b2ceb2 100644
--- a/man/mortalityTable.observed-class.Rd
+++ b/man/mortalityTable.observed-class.Rd
@@ -12,7 +12,7 @@ per year and age)
\section{Slots}{
\describe{
-\item{\code{data}}{The observations}
+\item{\code{deathProbs}}{The observed death probabilities (age-specific probability of dying within one year)}
\item{\code{years}}{The observation years}
diff --git a/man/mortalityTable.once.Rd b/man/mortalityTable.once.Rd
index e82137355f62d07111dc7be178da20fa6b900552..61824899ca7744bf5f91ec7e758e85897955ab86 100644
--- a/man/mortalityTable.once.Rd
+++ b/man/mortalityTable.once.Rd
@@ -4,8 +4,11 @@
\alias{mortalityTable.once}
\title{Generate a (deterministic) mortality table with only one probability set to 1 (for the given age)}
\usage{
-mortalityTable.once(transitionAge,
- name = "Deterministic mortality table", ages = 0:99)
+mortalityTable.once(
+ transitionAge,
+ name = "Deterministic mortality table",
+ ages = 0:99
+)
}
\arguments{
\item{transitionAge}{The age where the deterministic transition occurs}
diff --git a/man/mortalityTable.onceAndFuture.Rd b/man/mortalityTable.onceAndFuture.Rd
index 33c9cd1fd5cf97752909ed1935dda92c0774cb7e..b18be1981fdaca76c005c1814a4aa6a5754d9a80 100644
--- a/man/mortalityTable.onceAndFuture.Rd
+++ b/man/mortalityTable.onceAndFuture.Rd
@@ -4,8 +4,11 @@
\alias{mortalityTable.onceAndFuture}
\title{Generate a (deterministic) mortality table with all probabilities starting at a given age set to 1}
\usage{
-mortalityTable.onceAndFuture(transitionAge,
- name = "Deterministic mortality table", ages = 0:99)
+mortalityTable.onceAndFuture(
+ transitionAge,
+ name = "Deterministic mortality table",
+ ages = 0:99
+)
}
\arguments{
\item{transitionAge}{The age where the deterministic transition occurs}
diff --git a/man/mortalityTables.list.Rd b/man/mortalityTables.list.Rd
index e6880d3228b76a626abd06b9e613f069ac9f7af9..bdffed38b46f88cd7379593946db110437890333 100644
--- a/man/mortalityTables.list.Rd
+++ b/man/mortalityTables.list.Rd
@@ -5,15 +5,18 @@
\title{List all available sets of life tables provided by the \link[MortalityTables]{MortalityTables-package} package
An existing life table can then be loaded with \link{mortalityTables.load}.}
\usage{
-mortalityTables.list(pattern = "*", package = c("MortalityTables",
- "MortalityTablesPrivate"), prefix = "MortalityTables")
+mortalityTables.list(
+ pattern = "*",
+ package = c("^MortalityTables", "^PensionTables"),
+ prefix = "MortalityTables"
+)
}
\arguments{
-\item{pattern}{Restrict the results only to life table sets that match the pattern (default: "*" to show all sets)}
+\item{pattern}{Restrict the results only to life table sets that match the pattern with wildcards (default: "*" to show all sets)}
\item{package}{The package that contains the desired dataset in its \code{extdata/}
directory. Defaults to the "MortalityTables" package.
-Multiple packages can be given as a vector.}
+Multiple packages can be given as a vector, even using regular expressions.}
\item{prefix}{The file prefix, defaults to MortalityTables. Can be overridden to list other types of files, like "PensionTables"}
}
diff --git a/man/mortalityTables.load.Rd b/man/mortalityTables.load.Rd
index 36e54837723ed17501ab3cf42315730edcebb073..dc19583b0dea87c82e641d5ddfd176dbca100092 100644
--- a/man/mortalityTables.load.Rd
+++ b/man/mortalityTables.load.Rd
@@ -4,8 +4,11 @@
\alias{mortalityTables.load}
\title{Load a named set of mortality tables provided by the \link{MortalityTables} package}
\usage{
-mortalityTables.load(dataset, package = c("MortalityTables",
- "MortalityTablesPrivate"), prefix = "MortalityTables")
+mortalityTables.load(
+ dataset,
+ package = c("^MortalityTables", "^PensionTables"),
+ prefix = "MortalityTables"
+)
}
\arguments{
\item{dataset}{The set(s) of life tables to be loaded. A list of all available
@@ -13,8 +16,9 @@ data sets is provided by the function \code{\link{mortalityTables.list}}.
Wildcards (*) are allowed to match and load multiple datasets.}
\item{package}{The package that contains the dataset in its \code{extdata/}
-directory. Defaults to the "MortalityTables" package.
-Multiple packages can be given as a vector.}
+directory. Defaults to all packages starting with names that
+start with "MortalityTables" or "PensionTables".
+Multiple packages can be given as a vector, even using regular expressions.}
\item{prefix}{The prefix for the data sets (default is "MortalityTables").}
}
diff --git a/man/pT.calculateTotalMortality.Rd b/man/pT.calculateTotalMortality.Rd
new file mode 100644
index 0000000000000000000000000000000000000000..982f38165f8851d386f2fa973a0facb0785cf701
--- /dev/null
+++ b/man/pT.calculateTotalMortality.Rd
@@ -0,0 +1,44 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/utilityFunctions.R
+\name{pT.calculateTotalMortality}
+\alias{pT.calculateTotalMortality}
+\alias{pT.recalculateTotalMortality}
+\title{Calculate the total mortality of the pension table}
+\usage{
+pT.calculateTotalMortality(object, ...)
+
+pT.recalculateTotalMortality(object, ...)
+}
+\arguments{
+\item{object}{a \code{pensionTable} object}
+
+\item{...}{(unused)}
+}
+\description{
+The function \code{pT.calculateTotalMortality} calculates the overall mortality from the mortality of actives and disabled
+}
+\details{
+Since a pension tables describes mortalities of actives and of disabled separately,
+the overall mortality is a function of these two. The function \code{pT.calculateTortalMortality}
+calculates this overall mortality in a way that is consistent with the
+individual transition probabilities of the pension table.
+
+In particular, the pension table describes the mortalities of the individual
+sub-populations of actives, disabled and old-age pensioners. The overall
+mortality is the mortality that results when one discards the additional information
+about the state and just observes deaths. Internally, the overall mortality
+is calculated by starting from 10,000 actives and applying the transition dynamics
+of the pension table to the sub-populations.
+
+For a detailled description, see e.g. the documentation of the Austrian pension
+table AVÖ 2018-P or the German Heubeck Table DAV 2005-G.
+}
+\section{Functions}{
+\itemize{
+\item \code{pT.recalculateTotalMortality}: Calculate the total mortality of a
+pension table and assign it to the \code{qgx} slot of that table.
+}}
+
+\references{
+R. Kainhofer, J. Hirz, A. Schubert. AVÖ 2018-P: Rechnungsgrundlagen für die Pensionsversicherung. Dokumentation der Pensionstafel. AVÖ-Arbeitskreis Rechnungsgrundlagen, 2008. \url{https://avoe.at/rechnungsgrundlagen/pensionskassen/}
+}
diff --git a/man/pT.getSubTable.Rd b/man/pT.getSubTable.Rd
new file mode 100644
index 0000000000000000000000000000000000000000..b532c6df172f488c57058d026bc2a2c4e4c11d47
--- /dev/null
+++ b/man/pT.getSubTable.Rd
@@ -0,0 +1,43 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/utilityFunctions.R
+\name{pT.getSubTable}
+\alias{pT.getSubTable}
+\title{Extract a sub-table from a pensionTable}
+\usage{
+pT.getSubTable(table, subtable = "qx")
+}
+\arguments{
+\item{table}{a \code{pensionTable} object}
+
+\item{subtable}{the key describing the desired subtable (see above for the full list)}
+}
+\description{
+This function \code{pT.getSubTable} allows access to the individual components
+ of a pension table. In contrast to a "normal" mortalityTable, which describes
+ probablilities for only mortality or a single population, a pension table
+ describes transition probabilities for other states, too:
+ \itemize{
+ \item active population (i.e. not disabled, not retired)
+ \item disabled population (occupational disability)
+ \item old-age pensioners
+ \item widows/widowers
+ }
+}
+\details{
+The corresponding transition probabilities are:
+ \describe{
+ \item{qx}{mortality $q^a_x$ of actives (probability of death)}
+ \item{ix}{morbidity $i_x$ of actives (probability occupational disability)}
+ \item{qix}{mortality $q^i_x$ of disabled (probability of death)}
+ \item{rx}{reactivation $r_x$ of invalids (probability of becoming active again)}
+ \item{qpx}{mortality $q^p_x$ of old-age pensioners}
+ \item{qgx}{mortality $q^g_x$ of the whole population (including actives and disabled)}
+ \item{hx}{probability $h_x$ of leaving a widow/widower when dying at age $x$}
+ \item{yx}{average age $y(x)$ of surviving widow/widower when dying at age $x$}
+ \item{qwx}{mortality $q^w_x$ of widows}
+ }
+
+ The function \code{pT.getSubTable} extracts a single transition probability
+ from the pension table, using the keys given above. The returned object is
+ also a \code{mortalityTable} object.
+}
diff --git a/man/pT.setDimInfo.Rd b/man/pT.setDimInfo.Rd
new file mode 100644
index 0000000000000000000000000000000000000000..184c2555d1d83b1efd76cf2bcaf8cb0363a5d488
--- /dev/null
+++ b/man/pT.setDimInfo.Rd
@@ -0,0 +1,28 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/utilityFunctions.R
+\name{pT.setDimInfo}
+\alias{pT.setDimInfo}
+\title{Set additional information (year, description, type of risk, sex, etc.) for the pension table.}
+\usage{
+pT.setDimInfo(tbl, ..., append = TRUE)
+}
+\arguments{
+\item{tbl}{The \code{pensionTable} object to assign dimensional information}
+
+\item{...}{The dimensional information as named arguments. All names except tbl and append are allowed.}
+
+\item{append}{Whether to append to existing dimensional data (append=TRUE) or
+completely replace existing information (append=FALSE)}
+}
+\description{
+A mortalityTable can store additional information to be used e.g. as additional
+dimensions in ggplot calls. Typically, these information include sex, base
+population, observation year, type of data (raw, smoothed), country, type of
+risk, etc. These additional dimensions are stored in the \code{tbl@data} list
+and will be used by plotMortalityTables and similar functions.
+\code{pT.setDimInfo} works just like \code{mT.setDimInfo}, except that it sets
+the information for all sub-tables of the pension table at the same time.
+}
+\examples{
+# For examples, please see the \code{mT.setDimInfo} function.
+}
diff --git a/man/pensionTable-class.Rd b/man/pensionTable-class.Rd
index 08f1a13abdaa782b74eee659c28d608901112405..edf5664c4de8ca075f0a1a2709f292aad6b44b06 100644
--- a/man/pensionTable-class.Rd
+++ b/man/pensionTable-class.Rd
@@ -58,5 +58,7 @@ Correspondingly, the following transition probabilities can be given:\describe{
\item{\code{qgx}}{Death probability of whole group (derived from mortalityTable), irrespective of state}
\item{\code{invalids.retire}}{Whether invalids retire like actives or stay invalid until death}
+
+\item{\code{probs.arrange}}{A function that takes the individual transition probabilities of all the components and creates one object (a data.frame or a list) that will be returned by the method \code{transitionProbabilities}. The default arranges all tables without further modification. However, some pension tables (like the german Heubeck table) require the total mortality to be recalculated from the individual mortalities of actives and disabled. In this case, the function assigned to this slot will also calculate that total probability.}
}}
diff --git a/man/pensionTables.list.Rd b/man/pensionTables.list.Rd
index ae730b48ef3bee8b5d953f93b71fa44ac134e1eb..5fd37d0a1fd8e152f166ab25604a9c22d3bf4e95 100644
--- a/man/pensionTables.list.Rd
+++ b/man/pensionTables.list.Rd
@@ -5,15 +5,17 @@
\title{List all available sets of pension tables provided by the \link[MortalityTables]{MortalityTables-package} package
An existing pension table can then be loaded with \link{pensionTables.load}.}
\usage{
-pensionTables.list(pattern = "*", package = c("MortalityTables",
- "MortalityTablesPrivate"))
+pensionTables.list(
+ pattern = "*",
+ package = c("^MortalityTables", "^PensionTables")
+)
}
\arguments{
-\item{pattern}{Restrict the results only to pension table sets that match the pattern (default: "*" to show all sets)}
+\item{pattern}{Restrict the results only to pension table sets that match the pattern with wildcards (default: "*" to show all sets)}
\item{package}{The package that contains the desired dataset in its \code{extdata/}
directory. Defaults to the "MortalityTables" package.
-Multiple packages can be given as a vector.}
+Multiple packages can be given as a vector, even using regular expressions.}
}
\description{
List all available sets of pension tables provided by the \link[MortalityTables]{MortalityTables-package} package
diff --git a/man/pensionTables.load.Rd b/man/pensionTables.load.Rd
index 14e93653f8a2427f28ab164feb3671f5d0c7e6dc..79d7955ea4e8e62a91c08a2ecc259da47b77b7b0 100644
--- a/man/pensionTables.load.Rd
+++ b/man/pensionTables.load.Rd
@@ -4,8 +4,7 @@
\alias{pensionTables.load}
\title{Load a named set of pension tables provided by the \link{MortalityTables} package}
\usage{
-pensionTables.load(dataset, package = c("MortalityTables",
- "MortalityTablesPrivate"))
+pensionTables.load(dataset, package = c("^MortalityTables", "^PensionTables"))
}
\arguments{
\item{dataset}{The set of lifpensione tables to be loaded. A list of all available
@@ -13,8 +12,9 @@ data sets is provided by the function \code{\link{pensionTables.list}}.
Wildcards (*) are allowed to match and load multiple datasets.}
\item{package}{The package that contains the dataset in its \code{extdata/}
- directory. Defaults to the "MortalityTables" package.
- Multiple packages can be given as a vector.
+ directory. Defaults to all packages starting with names that
+ start with "MortalityTables" or "PensionTables".
+ Multiple packages can be given as a vector, even using regular expressions.
pensionTables.list()
pensionTables.load("*")
diff --git a/man/periodDeathProbabilities.Rd b/man/periodDeathProbabilities.Rd
index d951b9522d408f22acbf023f1bb70bdaf2e40593..6ba2b39abbfae0bd27d488cb9bf2c276d06de81d 100644
--- a/man/periodDeathProbabilities.Rd
+++ b/man/periodDeathProbabilities.Rd
@@ -1,7 +1,6 @@
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/periodDeathProbabilities.R,
% R/mortalityTable.jointLives.R, R/mortalityTable.observed.R
-\docType{methods}
\name{periodDeathProbabilities}
\alias{periodDeathProbabilities}
\alias{periodDeathProbabilities,mortalityTable.period-method}
@@ -16,28 +15,25 @@ observation year}
\usage{
periodDeathProbabilities(object, ..., ages = NULL, Period = 1975)
-\S4method{periodDeathProbabilities}{mortalityTable.period}(object, ...,
- ages = NULL, Period = 1975)
+\S4method{periodDeathProbabilities}{mortalityTable.period}(object, ..., ages = NULL, Period = 1975)
-\S4method{periodDeathProbabilities}{mortalityTable.ageShift}(object, ...,
- ages = NULL, Period = 1975)
+\S4method{periodDeathProbabilities}{mortalityTable.ageShift}(object, ..., ages = NULL, Period = 1975)
+\S4method{periodDeathProbabilities}{mortalityTable.trendProjection}(object, ..., ages = NULL, Period = 1975)
- \S4method{periodDeathProbabilities}{mortalityTable.trendProjection}(object,
- ..., ages = NULL, Period = 1975)
+\S4method{periodDeathProbabilities}{mortalityTable.improvementFactors}(object, ..., ages = NULL, Period = 1975)
+\S4method{periodDeathProbabilities}{mortalityTable.mixed}(object, ..., ages = NULL, Period = 1975)
- \S4method{periodDeathProbabilities}{mortalityTable.improvementFactors}(object,
- ..., ages = NULL, Period = 1975)
-
-\S4method{periodDeathProbabilities}{mortalityTable.mixed}(object, ...,
- ages = NULL, Period = 1975)
-
-\S4method{periodDeathProbabilities}{mortalityTable.jointLives}(object, ...,
- ageDifferences = c(), ages = NULL, Period = 1975)
+\S4method{periodDeathProbabilities}{mortalityTable.jointLives}(
+ object,
+ ...,
+ ageDifferences = c(),
+ ages = NULL,
+ Period = 1975
+)
-\S4method{periodDeathProbabilities}{mortalityTable.observed}(object, ...,
- ages = NULL, Period = 1975)
+\S4method{periodDeathProbabilities}{mortalityTable.observed}(object, ..., ages = NULL, Period = 1975)
}
\arguments{
\item{object}{The life table object (class inherited from mortalityTable)}
diff --git a/man/periodTransitionProbabilities.Rd b/man/periodTransitionProbabilities.Rd
index d50a399dde8b19200e7b465a656f7572d3c5aaed..b38701d5045db76fa2bbdade2079c798d89ae3ea 100644
--- a/man/periodTransitionProbabilities.Rd
+++ b/man/periodTransitionProbabilities.Rd
@@ -1,6 +1,5 @@
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/pensionTable.R
-\docType{methods}
\name{periodTransitionProbabilities}
\alias{periodTransitionProbabilities}
\alias{periodTransitionProbabilities,pensionTable-method}
@@ -8,10 +7,16 @@
\usage{
periodTransitionProbabilities(object, ...)
-\S4method{periodTransitionProbabilities}{pensionTable}(object,
- Period = 2017, ..., ages = NULL, OverallMortality = FALSE,
- retirement = NULL, invalids.retire = object@invalids.retire,
- as.data.frame = TRUE)
+\S4method{periodTransitionProbabilities}{pensionTable}(
+ object,
+ Period = 2017,
+ ...,
+ ages = NULL,
+ OverallMortality = FALSE,
+ retirement = NULL,
+ invalids.retire = object@invalids.retire,
+ as.data.frame = TRUE
+)
}
\arguments{
\item{object}{A pension table object (instance of a \code{\linkS4class{pensionTable}} class)}
diff --git a/man/plotMortalityTableComparisons.Rd b/man/plotMortalityTableComparisons.Rd
index 89766de27971c7dc720caa88f3eb7d98a6076e8b..2b20192c2e3340c88a495140c72425d9f9234297 100644
--- a/man/plotMortalityTableComparisons.Rd
+++ b/man/plotMortalityTableComparisons.Rd
@@ -4,11 +4,22 @@
\alias{plotMortalityTableComparisons}
\title{Plot multiple mortality tables (life tables) in one plot, relative to a given reference table}
\usage{
-plotMortalityTableComparisons(data, ..., aes = NULL, ages = NULL,
- xlim = NULL, ylim = NULL, xlab = NULL, ylab = NULL, title = "",
- legend.position = c(0.9, 0.1), legend.justification = c(1, 0),
- legend.title = "Sterbetafel", legend.key.width = unit(25, "mm"),
- reference = NULL)
+plotMortalityTableComparisons(
+ data,
+ ...,
+ aes = NULL,
+ ages = NULL,
+ xlim = NULL,
+ ylim = NULL,
+ xlab = NULL,
+ ylab = NULL,
+ title = "",
+ legend.position = c(0.9, 0.1),
+ legend.justification = c(1, 0),
+ legend.title = "Sterbetafel",
+ legend.key.width = unit(25, "mm"),
+ reference = NULL
+)
}
\arguments{
\item{data}{First life table to be plotted. Either a \code{data.frame} generated by \code{makeQxDataFrame} or a \code{mortalityTable} object}
diff --git a/man/plotMortalityTables.Rd b/man/plotMortalityTables.Rd
index 892ef6ae912dfc83511de4e19e89b085cf3a499b..41018bc1c29bd4f74fe4da27cb1db4fbf1a4adb3 100644
--- a/man/plotMortalityTables.Rd
+++ b/man/plotMortalityTables.Rd
@@ -4,11 +4,22 @@
\alias{plotMortalityTables}
\title{Plot multiple mortality tables (life tables) in one plot}
\usage{
-plotMortalityTables(data, ..., aes = NULL, ages = NULL,
- legend.title = "Sterbetafel", xlim = NULL, ylim = NULL,
- xlab = NULL, ylab = NULL, title = "", legend.position = c(0.9,
- 0.1), legend.justification = c(1, 0), legend.key.width = unit(25,
- "mm"), log = TRUE)
+plotMortalityTables(
+ data,
+ ...,
+ aes = NULL,
+ ages = NULL,
+ legend.title = "Sterbetafel",
+ xlim = NULL,
+ ylim = NULL,
+ xlab = NULL,
+ ylab = NULL,
+ title = "",
+ legend.position = c(0.9, 0.1),
+ legend.justification = c(1, 0),
+ legend.key.width = unit(25, "mm"),
+ log = TRUE
+)
}
\arguments{
\item{data}{First life table to be plotted. Either a \code{data.frame} generated by \code{makeQxDataFrame} or a \code{mortalityTable} object}
diff --git a/man/plotMortalityTrend.Rd b/man/plotMortalityTrend.Rd
index fc77cc3f91e7463e33d14c80a38522825295032f..02e08765c928e53de872d7ef42652d2be8d2a827 100644
--- a/man/plotMortalityTrend.Rd
+++ b/man/plotMortalityTrend.Rd
@@ -4,10 +4,21 @@
\alias{plotMortalityTrend}
\title{Plot the trends of multiple mortality tables (life tables) in one chart}
\usage{
-plotMortalityTrend(data, ..., aes = NULL, ages = NULL, xlim = NULL,
- ylim = NULL, xlab = NULL, ylab = NULL, title = "",
- legend.position = c(0.9, 0.9), legend.justification = c(1, 1),
- legend.title = "Sterbetafel", legend.key.width = unit(25, "mm"))
+plotMortalityTrend(
+ data,
+ ...,
+ aes = NULL,
+ ages = NULL,
+ xlim = NULL,
+ ylim = NULL,
+ xlab = NULL,
+ ylab = NULL,
+ title = "",
+ legend.position = c(0.9, 0.9),
+ legend.justification = c(1, 1),
+ legend.title = "Sterbetafel",
+ legend.key.width = unit(25, "mm")
+)
}
\arguments{
\item{data}{First life table to be plotted. Either a \code{data.frame} generated by \code{makeQxDataFrame} or a \code{mortalityTable} object}
diff --git a/man/setLoading.Rd b/man/setLoading.Rd
index 7581d4de81f685fb45eb0f4ffd62b55c9e5edfbd..927e6e2cb156e9669cb45e4254b13691a626c757 100644
--- a/man/setLoading.Rd
+++ b/man/setLoading.Rd
@@ -1,6 +1,5 @@
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/setLoading.R
-\docType{methods}
\name{setLoading}
\alias{setLoading}
\alias{setLoading,mortalityTable-method}
diff --git a/man/setModification.Rd b/man/setModification.Rd
index 661d1dece767a807427eac177b014ae3310dd41c..933535e8a82cdc1b2cef331e1ac5f0159f2b5e58 100644
--- a/man/setModification.Rd
+++ b/man/setModification.Rd
@@ -1,14 +1,10 @@
% Generated by roxygen2: do not edit by hand
-% Please edit documentation in R/utilityFunctions.R, R/setModification.R
-\docType{methods}
-\name{mT.round,mortalityTable-method}
-\alias{mT.round,mortalityTable-method}
+% Please edit documentation in R/setModification.R
+\name{setModification}
\alias{setModification}
\alias{setModification,mortalityTable-method}
\title{Return a copy of the table with the given modification function added}
\usage{
-\S4method{mT.round}{mortalityTable}(object, digits = 8)
-
setModification(object, modification = 0)
\S4method{setModification}{mortalityTable}(object, modification = 0)
@@ -23,8 +19,6 @@ Return a copy of the table with the given modification function added
}
\section{Methods (by class)}{
\itemize{
-\item \code{mortalityTable}: Return the life table with the given modification set
-
\item \code{mortalityTable}: Return the life table with the given modification set
}}
diff --git a/man/transitionProbabilities.Rd b/man/transitionProbabilities.Rd
index e4f3846a32435d50f6af703ac2ff4ca3da6c9df0..73bab71a1394aeab63b0d3fb2d448b6db79e8b04 100644
--- a/man/transitionProbabilities.Rd
+++ b/man/transitionProbabilities.Rd
@@ -1,6 +1,5 @@
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/pensionTable.R
-\docType{methods}
\name{transitionProbabilities}
\alias{transitionProbabilities}
\alias{transitionProbabilities,pensionTable-method}
@@ -8,10 +7,17 @@
\usage{
transitionProbabilities(object, ...)
-\S4method{transitionProbabilities}{pensionTable}(object, YOB = 1982, ...,
- ages = NULL, OverallMortality = FALSE, Period = NULL,
- retirement = NULL, invalids.retire = object@invalids.retire,
- as.data.frame = TRUE)
+\S4method{transitionProbabilities}{pensionTable}(
+ object,
+ YOB = 1982,
+ ...,
+ ages = NULL,
+ OverallMortality = FALSE,
+ Period = NULL,
+ retirement = NULL,
+ invalids.retire = object@invalids.retire,
+ as.data.frame = TRUE
+)
}
\arguments{
\item{object}{A pension table object (instance of a \code{\linkS4class{pensionTable}} class)}
diff --git a/man/undampenTrend.Rd b/man/undampenTrend.Rd
index 5122bbfc63632f5f490ff80cd0f2b01bc4660693..2886094c77ac6477d0fcc87bca7efd1dd5e7324d 100644
--- a/man/undampenTrend.Rd
+++ b/man/undampenTrend.Rd
@@ -1,6 +1,5 @@
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/undampenTrend.R
-\docType{methods}
\name{undampenTrend}
\alias{undampenTrend}
\alias{undampenTrend,mortalityTable.trendProjection-method}
diff --git a/man/whittaker.mortalityTable.Rd b/man/whittaker.mortalityTable.Rd
index e2304ff41b2c65a39475d075154fe62f7763c4f6..391a9ae86604e9932f82c11984672616cff47ae8 100644
--- a/man/whittaker.mortalityTable.Rd
+++ b/man/whittaker.mortalityTable.Rd
@@ -4,8 +4,15 @@
\alias{whittaker.mortalityTable}
\title{Smooth a life table using the Whittaker-Henderson method, intepolation possibly missing values}
\usage{
-whittaker.mortalityTable(table, lambda = 10, d = 2,
- name.postfix = ", smoothed", ..., weights = NULL, log = TRUE)
+whittaker.mortalityTable(
+ table,
+ lambda = 10,
+ d = 2,
+ name.postfix = ", smoothed",
+ ...,
+ weights = NULL,
+ log = TRUE
+)
}
\arguments{
\item{table}{Mortality table to be graduated. Must be an instance of a
diff --git a/vignettes/using-the-mortalityTables-package.R b/vignettes/using-the-mortalityTables-package.R
index e3225ffcd48b38c73660a016b57a902e2e4a6b38..7e964366e0c6e73f3e911073d568ca24ebf6ec89 100644
--- a/vignettes/using-the-mortalityTables-package.R
+++ b/vignettes/using-the-mortalityTables-package.R
@@ -1,10 +1,10 @@
-## ----echo = FALSE--------------------------------------------------------
+## ----echo = FALSE-------------------------------------------------------------
knitr::opts_chunk$set(collapse = TRUE, comment = "#>")
-## ----message=FALSE-------------------------------------------------------
+## ----message=FALSE------------------------------------------------------------
library("MortalityTables")
-## ------------------------------------------------------------------------
+## -----------------------------------------------------------------------------
# list all available data sets
mortalityTables.list()
@@ -14,10 +14,11 @@ mortalityTables.list("Austria_*")
# Load the German annuity table DAV 2004-R
mortalityTables.load("Germany_Annuities_DAV2004R")
-# Load all Austrian data sets
-mortalityTables.load("Austria_*")
+# Load all Austrian annuity data sets
+mortalityTables.load("Austria_Annuities*")
+mortalityTables.load("Austria_Census")
-## ------------------------------------------------------------------------
+## -----------------------------------------------------------------------------
# Log-linear plot comparing some Austrian census tables
plot(mort.AT.census.1951.male, mort.AT.census.1991.male,
mort.AT.census.2001.male, mort.AT.census.2011.male,
@@ -28,7 +29,7 @@ plot(mort.AT.census.1951.male, mort.AT.census.1991.male,
mort.AT.census.2001.male,
reference = mort.AT.census.2011.male, legend.position = c(1,0.75), ylim = c(0,4))
-## ------------------------------------------------------------------------
+## -----------------------------------------------------------------------------
# Comparison of two Austrian annuity tables for birth year 1977
plot(AVOe1996R.male, AVOe2005R.male, YOB = 1977, title = "Comparison for YOB=1977")
@@ -36,7 +37,7 @@ plot(AVOe1996R.male, AVOe2005R.male, YOB = 1977, title = "Comparison for YOB=197
plot(AVOe1996R.male, AVOe2005R.male, Period = 2020, title = "Comparison for observation year 2020")
-## ----message=FALSE-------------------------------------------------------
+## ----message=FALSE------------------------------------------------------------
mortalityTables.load("Austria_Annuities")
# Get the cohort death probabilities for Austrian Annuitants born in 1977:
qx.coh1977 = deathProbabilities(AVOe2005R.male, YOB = 1977)
@@ -44,7 +45,7 @@ qx.coh1977 = deathProbabilities(AVOe2005R.male, YOB = 1977)
# Get the period death probabilities for Austrian Annuitants observed in the year 2020:
qx.per2020 = periodDeathProbabilities(AVOe2005R.male, Period = 2020)
-## ------------------------------------------------------------------------
+## -----------------------------------------------------------------------------
# Get the cohort death probabilities for Austrian Annuitants born in 1977 as a mortalityTable.period object:
table.coh1977 = getCohortTable(AVOe2005R.male, YOB = 1977)
@@ -55,13 +56,13 @@ table.per2020 = getPeriodTable(AVOe2005R.male, Period = 2020)
plot(table.coh1977, table.per2020, title = "Comparison of cohort 1977 with Period 2020", legend.position = c(1,0))
-## ------------------------------------------------------------------------
+## -----------------------------------------------------------------------------
lt = mortalityTable.period(name = "Sample period lifetable", ages = 1:99, deathProbs = exp(-(99:1)/10))
plot(lt, title = "Simple log-linear period mortality table")
deathProbabilities(lt)
-## ------------------------------------------------------------------------
+## -----------------------------------------------------------------------------
atPlus2 = mortalityTable.trendProjection(
name = "Austrian Census Males 2011, 2% yearly trend",
baseYear = 2011,
@@ -70,7 +71,7 @@ atPlus2 = mortalityTable.trendProjection(
trend = rep(0.02, length(ages(mort.AT.census.2011.male)))
)
-## ------------------------------------------------------------------------
+## -----------------------------------------------------------------------------
atPlus2.damp = mortalityTable.trendProjection(
name = "Austrian M '11, 2% yearly, damping until 2111",
baseYear = 2011,
@@ -85,7 +86,7 @@ atPlus2.damp = mortalityTable.trendProjection(
plot(mort.AT.census.2011.male, atPlus2, atPlus2.damp, YOB = 2011, legend.position = c(0.8,0.75))
-## ------------------------------------------------------------------------
+## -----------------------------------------------------------------------------
atPlus2.damp2 = mortalityTable.trendProjection(
name = "Austrian M '11, 2% yearly, 1% long-term",
baseYear = 2011,
@@ -104,7 +105,7 @@ atPlus2.damp2 = mortalityTable.trendProjection(
plot(mort.AT.census.2011.male, atPlus2, atPlus2.damp, atPlus2.damp2, YOB = 2011, legend.position = c(0.8,0.75))
-## ------------------------------------------------------------------------
+## -----------------------------------------------------------------------------
baseTableShift = getCohortTable(atPlus2, YOB = 2011);
baseTableShift@name = "Base table of the shift (YOB 2011)"
@@ -131,20 +132,20 @@ ageShift(atShifted, YOB = 2021)
plot(baseTableShift, atPlus2, atShifted, YOB = 2021, legend.position = c(0.8,0.75))
-## ------------------------------------------------------------------------
+## -----------------------------------------------------------------------------
b = AVOe2005R.female
b@name = "Modified Copy"
# only b is modified, not the original table
b@modification = function(qx) pmax(qx, 0.01)
plot(AVOe2005R.female, b, YOB = 2000)
-## ------------------------------------------------------------------------
+## -----------------------------------------------------------------------------
AVOe2005R.female.sec = setLoading(AVOe2005R.female, loading = 0.1);
# Make sure the modified table has a new name, otherwise plots might break
AVOe2005R.female.sec@name = "Table with 10% loading"
plot(AVOe2005R.female, AVOe2005R.female.sec, title = "Original and modified table")
-## ------------------------------------------------------------------------
+## -----------------------------------------------------------------------------
AVOe2005R.female.mod = setModification(AVOe2005R.female, modification = function(qx) pmax(0.03, qx));
# Make sure the modified table has a new name, otherwise plots might break
AVOe2005R.female.mod@name = "Modified table (lower bound of 3%)"
diff --git a/vignettes/using-the-mortalityTables-package.Rmd b/vignettes/using-the-mortalityTables-package.Rmd
index 235911ba3a5c9811669fcbb8307fb3f4006510d0..6648b3cbffe4ae3b0a513b5fd850bc9131bd2309 100644
--- a/vignettes/using-the-mortalityTables-package.Rmd
+++ b/vignettes/using-the-mortalityTables-package.Rmd
@@ -9,7 +9,7 @@ output:
fig_width: 7
fig_height: 5
vignette: >
- %\VignetteIndexEntry{MortalityTables}
+ %\VignetteIndexEntry{Using the MortalityTables Package}
%\VignetteEngine{knitr::rmarkdown}
%\VignetteEncoding{UTF-8}
---
@@ -19,7 +19,7 @@ knitr::opts_chunk$set(collapse = TRUE, comment = "#>")
```
The MortalityTables package provides the `mortalityTable` base class and
-some derived classes to handle diffferent types of mortality tables (also
+some derived classes to handle different types of mortality tables (also
called life tables), mainly
used for life insurance. Additionally it provides a plot function to compare
multiple life tables either directly using the absolute mortalities in
@@ -90,8 +90,9 @@ mortalityTables.list("Austria_*")
# Load the German annuity table DAV 2004-R
mortalityTables.load("Germany_Annuities_DAV2004R")
-# Load all Austrian data sets
-mortalityTables.load("Austria_*")
+# Load all Austrian annuity data sets
+mortalityTables.load("Austria_Annuities*")
+mortalityTables.load("Austria_Census")
```
@@ -412,6 +413,12 @@ AVOe2005R.female.mod@name = "Modified table (lower bound of 3%)"
plot(AVOe2005R.female, AVOe2005R.female.mod, title = "Original and modified table")
```
+## Creating mortality tables from data and modifying them using various helper functions
+
+The package \code{MortalityTables} not only provides the data structures and some
+examples of mortality tables, it also provides several functions to modify
+existing tables. In particular, the functions available provide
+
## Pension Tables
Pension tables generalize mortality tables in that the state space is increased
from two states (alive / dead) to four states (active / invalidity or realy
@@ -419,7 +426,8 @@ retirement / old age retirement / dead). As a consequence, there is no longer
just one transition probability, but multiple.
Possible states are:
-* active: healty, no pension, typically paying some kin of premium
+
+* active: healty, no pension, typically paying some kind of premium
* incapacity: disablity pension (in most cases permanent), not working, early pension
* retirement: old age pension, usually starting with a fixed age
* dead
@@ -428,6 +436,7 @@ Possible states are:
Correspondingly, the `pensionTable` class offers the following slots describing
transition probabilities for the corresponding state transitions (by a
`mortalityTable`-derived object):
+
* `qxaa`: death probability of actives (active -> dead)
* `ix`: invalidity probability (active -> incapacity)
* `qix`: death probability of invalid (invalid -> dead)
@@ -443,6 +452,7 @@ All functions that handle `mortalityTable` object can be used with these slots.
Additionally, the following functions are provided to obtain the set of all
transition probabilities in one data frame:
+
* `transitionProbabilities(pension_table, YOB)`
* `periodTransitionProbabilities(pension_table, Period)`
diff --git a/vignettes/using-the-mortalityTables-package.html b/vignettes/using-the-mortalityTables-package.html
index 585160e214ff6cc502bdc62a8031e1143a593407..50f83bfcd5c0ff91dc5a3a6973d120f25a26ecdc 100644
--- a/vignettes/using-the-mortalityTables-package.html
+++ b/vignettes/using-the-mortalityTables-package.html
@@ -1,65 +1,314 @@
<!DOCTYPE html>
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+<html>
<head>
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+<meta name="viewport" content="width=device-width, initial-scale=1" />
<meta name="author" content="Reinhold Kainhofer, reinhold@kainhofer.com" />
-<meta name="date" content="2018-05-20" />
+<meta name="date" content="2020-08-11" />
<title>Using the MortalityTables Package</title>
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rel="stylesheet" type="text/css" />
</head>
@@ -69,8 +318,8 @@ code > span.in { color: #60a0b0; font-weight: bold; font-style: italic; } /* Inf
<h1 class="title toc-ignore">Using the MortalityTables Package</h1>
-<h4 class="author"><em>Reinhold Kainhofer, <a href="mailto:reinhold@kainhofer.com">reinhold@kainhofer.com</a></em></h4>
-<h4 class="date"><em>2018-05-20</em></h4>
+<h4 class="author">Reinhold Kainhofer, <a href="mailto:reinhold@kainhofer.com" class="email">reinhold@kainhofer.com</a></h4>
+<h4 class="date">2020-08-11</h4>
<div id="TOC">
@@ -93,11 +342,12 @@ code > span.in { color: #60a0b0; font-weight: bold; font-style: italic; } /* Inf
<li><a href="#adding-a-security-loading-to-the-raw-probabilities">Adding a security loading to the raw probabilities</a></li>
<li><a href="#adding-a-modification-to-the-raw-probabilities">Adding a modification to the raw probabilities</a></li>
</ul></li>
+<li><a href="#creating-mortality-tables-from-data-and-modifying-them-using-various-helper-functions">Creating mortality tables from data and modifying them using various helper functions</a></li>
<li><a href="#pension-tables">Pension Tables</a></li>
</ul>
</div>
-<p>The MortalityTables package provides the <code>mortalityTable</code> base class and some derived classes to handle diffferent types of mortality tables (also called life tables), mainly used for life insurance. Additionally it provides a plot function to compare multiple life tables either directly using the absolute mortalities in log-linear plots or using relative mortalities as percentages of a given reference table.</p>
+<p>The MortalityTables package provides the <code>mortalityTable</code> base class and some derived classes to handle different types of mortality tables (also called life tables), mainly used for life insurance. Additionally it provides a plot function to compare multiple life tables either directly using the absolute mortalities in log-linear plots or using relative mortalities as percentages of a given reference table.</p>
<div id="types-of-life-tables" class="section level2">
<h2>Types of Life Tables</h2>
<p>Provided types of mortality tables are:</p>
@@ -155,64 +405,53 @@ code > span.in { color: #60a0b0; font-weight: bold; font-style: italic; } /* Inf
</div>
<div id="loading-the-mortalitytables-package" class="section level2">
<h2>Loading the MortalityTables package</h2>
-<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r"><span class="kw">library</span>(<span class="st">"MortalityTables"</span>)</code></pre></div>
+<div class="sourceCode" id="cb1"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb1-1"><a href="#cb1-1"></a><span class="kw">library</span>(<span class="st">"MortalityTables"</span>)</span></code></pre></div>
</div>
<div id="provided-data-sets" class="section level2">
<h2>Provided Data Sets</h2>
<p>The package provides several real-life life tables published by census bureaus and actuarial associations around the world. You can use the function <code>mortalityTables.list</code> to list all available datasets (if no argument is given) or all datasets that match the given pattern (wildcard character is *). You can then use <code>mortalityTables.load</code> to load either one single data set or all datasets that match the pattern.</p>
-<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r"><span class="co"># list all available data sets</span>
-<span class="kw">mortalityTables.list</span>()
-<span class="co">#> [1] "Austria_Annuities" </span>
-<span class="co">#> [2] "Austria_Annuities_AVOe1996R" </span>
-<span class="co">#> [3] "Austria_Annuities_AVOe2005R" </span>
-<span class="co">#> [4] "Austria_Annuities_EROMF" </span>
-<span class="co">#> [5] "Austria_Annuities_RR67" </span>
-<span class="co">#> [6] "Austria_Census" </span>
-<span class="co">#> [7] "Austria_Endowments_ADSt2426_2Lives"</span>
-<span class="co">#> [8] "Austria_PopulationForecast" </span>
-<span class="co">#> [9] "Germany_Annuities" </span>
-<span class="co">#> [10] "Germany_Annuities_DAV1994R" </span>
-<span class="co">#> [11] "Germany_Annuities_DAV2004R" </span>
-<span class="co">#> [12] "Germany_Census" </span>
-<span class="co">#> [13] "Germany_Endowments" </span>
-<span class="co">#> [14] "Germany_Endowments_DAV1994T" </span>
-<span class="co">#> [15] "Germany_Endowments_DAV2008T" </span>
-<span class="co">#> [16] "USA_Annuities" </span>
-<span class="co">#> [17] "USA_Annuities_1971IAM" </span>
-<span class="co">#> [18] "USA_Annuities_1983a" </span>
-<span class="co">#> [19] "USA_Annuities_1994GAR" </span>
-<span class="co">#> [20] "USA_Annuities_2012IAM" </span>
-<span class="co">#> [21] "USA_Annuities_Annuity2000"</span>
-
-<span class="co"># list all datasets for Austria</span>
-<span class="kw">mortalityTables.list</span>(<span class="st">"Austria_*"</span>)
-<span class="co">#> [1] "Austria_Annuities" </span>
-<span class="co">#> [2] "Austria_Annuities_AVOe1996R" </span>
-<span class="co">#> [3] "Austria_Annuities_AVOe2005R" </span>
-<span class="co">#> [4] "Austria_Annuities_EROMF" </span>
-<span class="co">#> [5] "Austria_Annuities_RR67" </span>
-<span class="co">#> [6] "Austria_Census" </span>
-<span class="co">#> [7] "Austria_Endowments_ADSt2426_2Lives"</span>
-<span class="co">#> [8] "Austria_PopulationForecast"</span>
-
-<span class="co"># Load the German annuity table DAV 2004-R</span>
-<span class="kw">mortalityTables.load</span>(<span class="st">"Germany_Annuities_DAV2004R"</span>)
-<span class="co">#> Loading table dataset 'Germany_Annuities_DAV2004R'</span>
-
-<span class="co"># Load all Austrian data sets</span>
-<span class="kw">mortalityTables.load</span>(<span class="st">"Austria_*"</span>)
-<span class="co">#> Loading table dataset 'Austria_Annuities'</span>
-<span class="co">#> Loading table dataset 'Austria_Annuities_AVOe1996R'</span>
-<span class="co">#> Loading table dataset 'Austria_Annuities_AVOe2005R'</span>
-<span class="co">#> Loading table dataset 'Austria_Annuities_EROMF'</span>
-<span class="co">#> Loading table dataset 'Austria_Annuities_RR67'</span>
-<span class="co">#> Loading table dataset 'Austria_Annuities_AVOe1996R'</span>
-<span class="co">#> Loading table dataset 'Austria_Annuities_AVOe2005R'</span>
-<span class="co">#> Loading table dataset 'Austria_Annuities_EROMF'</span>
-<span class="co">#> Loading table dataset 'Austria_Annuities_RR67'</span>
-<span class="co">#> Loading table dataset 'Austria_Census'</span>
-<span class="co">#> Loading table dataset 'Austria_Endowments_ADSt2426_2Lives'</span>
-<span class="co">#> Loading table dataset 'Austria_PopulationForecast'</span></code></pre></div>
+<div class="sourceCode" id="cb2"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb2-1"><a href="#cb2-1"></a><span class="co"># list all available data sets</span></span>
+<span id="cb2-2"><a href="#cb2-2"></a><span class="kw">mortalityTables.list</span>()</span>
+<span id="cb2-3"><a href="#cb2-3"></a><span class="co">#> [1] "Austria_Annuities" "Austria_Annuities_AVOe1996R" </span></span>
+<span id="cb2-4"><a href="#cb2-4"></a><span class="co">#> [3] "Austria_Annuities_AVOe2005R" "Austria_Annuities_EROMF" </span></span>
+<span id="cb2-5"><a href="#cb2-5"></a><span class="co">#> [5] "Austria_Annuities_RR67" "Austria_Census" </span></span>
+<span id="cb2-6"><a href="#cb2-6"></a><span class="co">#> [7] "Austria_Endowments_ADSt2426_2Lives" "Austria_PopulationForecast" </span></span>
+<span id="cb2-7"><a href="#cb2-7"></a><span class="co">#> [9] "Austria_PopulationMCMC" "Austria_PopulationObserved" </span></span>
+<span id="cb2-8"><a href="#cb2-8"></a><span class="co">#> [11] "Germany_Annuities" "Germany_Annuities_DAV1994R" </span></span>
+<span id="cb2-9"><a href="#cb2-9"></a><span class="co">#> [13] "Germany_Annuities_DAV2004R" "Germany_Census" </span></span>
+<span id="cb2-10"><a href="#cb2-10"></a><span class="co">#> [15] "Germany_Endowments" "Germany_Endowments_DAV1994T" </span></span>
+<span id="cb2-11"><a href="#cb2-11"></a><span class="co">#> [17] "Germany_Endowments_DAV2008T" "USA_Annuities" </span></span>
+<span id="cb2-12"><a href="#cb2-12"></a><span class="co">#> [19] "USA_Annuities_1971IAM" "USA_Annuities_1983a" </span></span>
+<span id="cb2-13"><a href="#cb2-13"></a><span class="co">#> [21] "USA_Annuities_1994GAR" "USA_Annuities_2012IAM" </span></span>
+<span id="cb2-14"><a href="#cb2-14"></a><span class="co">#> [23] "USA_Annuities_Annuity2000" "Austria_PK-Bestand_2010-16" </span></span>
+<span id="cb2-15"><a href="#cb2-15"></a><span class="co">#> [25] "Austria_VUGesamtbestand_2012-16"</span></span>
+<span id="cb2-16"><a href="#cb2-16"></a></span>
+<span id="cb2-17"><a href="#cb2-17"></a><span class="co"># list all datasets for Austria</span></span>
+<span id="cb2-18"><a href="#cb2-18"></a><span class="kw">mortalityTables.list</span>(<span class="st">"Austria_*"</span>)</span>
+<span id="cb2-19"><a href="#cb2-19"></a><span class="co">#> [1] "Austria_Annuities" "Austria_Annuities_AVOe1996R" </span></span>
+<span id="cb2-20"><a href="#cb2-20"></a><span class="co">#> [3] "Austria_Annuities_AVOe2005R" "Austria_Annuities_EROMF" </span></span>
+<span id="cb2-21"><a href="#cb2-21"></a><span class="co">#> [5] "Austria_Annuities_RR67" "Austria_Census" </span></span>
+<span id="cb2-22"><a href="#cb2-22"></a><span class="co">#> [7] "Austria_Endowments_ADSt2426_2Lives" "Austria_PopulationForecast" </span></span>
+<span id="cb2-23"><a href="#cb2-23"></a><span class="co">#> [9] "Austria_PopulationMCMC" "Austria_PopulationObserved" </span></span>
+<span id="cb2-24"><a href="#cb2-24"></a><span class="co">#> [11] "Austria_PK-Bestand_2010-16" "Austria_VUGesamtbestand_2012-16"</span></span>
+<span id="cb2-25"><a href="#cb2-25"></a></span>
+<span id="cb2-26"><a href="#cb2-26"></a><span class="co"># Load the German annuity table DAV 2004-R</span></span>
+<span id="cb2-27"><a href="#cb2-27"></a><span class="kw">mortalityTables.load</span>(<span class="st">"Germany_Annuities_DAV2004R"</span>)</span>
+<span id="cb2-28"><a href="#cb2-28"></a><span class="co">#> Loading table dataset 'Germany_Annuities_DAV2004R'</span></span>
+<span id="cb2-29"><a href="#cb2-29"></a></span>
+<span id="cb2-30"><a href="#cb2-30"></a><span class="co"># Load all Austrian annuity data sets</span></span>
+<span id="cb2-31"><a href="#cb2-31"></a><span class="kw">mortalityTables.load</span>(<span class="st">"Austria_Annuities*"</span>)</span>
+<span id="cb2-32"><a href="#cb2-32"></a><span class="co">#> Loading table dataset 'Austria_Annuities'</span></span>
+<span id="cb2-33"><a href="#cb2-33"></a><span class="co">#> Loading table dataset 'Austria_Annuities_AVOe1996R'</span></span>
+<span id="cb2-34"><a href="#cb2-34"></a><span class="co">#> Loading table dataset 'Austria_Annuities_AVOe2005R'</span></span>
+<span id="cb2-35"><a href="#cb2-35"></a><span class="co">#> Loading table dataset 'Austria_Annuities_EROMF'</span></span>
+<span id="cb2-36"><a href="#cb2-36"></a><span class="co">#> Loading table dataset 'Austria_Annuities_RR67'</span></span>
+<span id="cb2-37"><a href="#cb2-37"></a><span class="co">#> Loading table dataset 'Austria_Annuities_AVOe1996R'</span></span>
+<span id="cb2-38"><a href="#cb2-38"></a><span class="co">#> Loading table dataset 'Austria_Annuities_AVOe2005R'</span></span>
+<span id="cb2-39"><a href="#cb2-39"></a><span class="co">#> Loading table dataset 'Austria_Annuities_EROMF'</span></span>
+<span id="cb2-40"><a href="#cb2-40"></a><span class="co">#> Loading table dataset 'Austria_Annuities_RR67'</span></span>
+<span id="cb2-41"><a href="#cb2-41"></a><span class="kw">mortalityTables.load</span>(<span class="st">"Austria_Census"</span>)</span>
+<span id="cb2-42"><a href="#cb2-42"></a><span class="co">#> Loading table dataset 'Austria_Census'</span></span></code></pre></div>
<p>In the next few sections we will always use some of the provided life tables for demonstration purposes.</p>
</div>
<div id="working-with-life-table-objects" class="section level2">
@@ -238,29 +477,29 @@ code > span.in { color: #60a0b0; font-weight: bold; font-style: italic; } /* Inf
</dl></li>
</ul>
<p>These functionalities are also combined into the S3 plot function for the mortalityTable class, so you can usually just call plot on the mortality tables. If the <code>trend = TRUE</code> argument is given, <code>plotMortalityTrend</code> is used, if the <code>reference</code> argument is given, <code>plotMortalityTableComparisons</code> is used, otherwise <code>plotMortalityTables</code> is called.</p>
-<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r"><span class="co"># Log-linear plot comparing some Austrian census tables</span>
-<span class="kw">plot</span>(mort.AT.census.<span class="fl">1951.</span>male, mort.AT.census.<span class="fl">1991.</span>male,
- mort.AT.census.<span class="fl">2001.</span>male, mort.AT.census.<span class="fl">2011.</span>male,
- <span class="dt">legend.position =</span> <span class="kw">c</span>(<span class="dv">1</span>,<span class="dv">0</span>))</code></pre></div>
-<p><img src="data:image/png;base64,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" /><!-- --></p>
-<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r">
-<span class="co"># Relative death probabilities in percentage of the latest census</span>
-<span class="kw">plot</span>(mort.AT.census.<span class="fl">1951.</span>male, mort.AT.census.<span class="fl">1991.</span>male,
- mort.AT.census.<span class="fl">2001.</span>male,
- <span class="dt">reference =</span> mort.AT.census.<span class="fl">2011.</span>male, <span class="dt">legend.position =</span> <span class="kw">c</span>(<span class="dv">1</span>,<span class="fl">0.75</span>), <span class="dt">ylim =</span> <span class="kw">c</span>(<span class="dv">0</span>,<span class="dv">4</span>))
-<span class="co">#> Warning in normalize_deathProbabilities(if (is.data.frame(t@data$dim)</span>
-<span class="co">#> || : Reference mortality table does not contain ages</span>
-<span class="co">#> 101102103104105106107108109110111112 required for normalization. These ages</span>
-<span class="co">#> will not be normalized!</span></code></pre></div>
-<p><img 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" /><!-- --></p>
+<div class="sourceCode" id="cb3"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb3-1"><a href="#cb3-1"></a><span class="co"># Log-linear plot comparing some Austrian census tables</span></span>
+<span id="cb3-2"><a href="#cb3-2"></a><span class="kw">plot</span>(mort.AT.census.<span class="fl">1951.</span>male, mort.AT.census.<span class="fl">1991.</span>male, </span>
+<span id="cb3-3"><a href="#cb3-3"></a> mort.AT.census.<span class="fl">2001.</span>male, mort.AT.census.<span class="fl">2011.</span>male, </span>
+<span id="cb3-4"><a href="#cb3-4"></a> <span class="dt">legend.position =</span> <span class="kw">c</span>(<span class="dv">1</span>,<span class="dv">0</span>))</span></code></pre></div>
+<p><img 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" /><!-- --></p>
+<div class="sourceCode" id="cb4"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb4-1"><a href="#cb4-1"></a></span>
+<span id="cb4-2"><a href="#cb4-2"></a><span class="co"># Relative death probabilities in percentage of the latest census</span></span>
+<span id="cb4-3"><a href="#cb4-3"></a><span class="kw">plot</span>(mort.AT.census.<span class="fl">1951.</span>male, mort.AT.census.<span class="fl">1991.</span>male, </span>
+<span id="cb4-4"><a href="#cb4-4"></a> mort.AT.census.<span class="fl">2001.</span>male, </span>
+<span id="cb4-5"><a href="#cb4-5"></a> <span class="dt">reference =</span> mort.AT.census.<span class="fl">2011.</span>male, <span class="dt">legend.position =</span> <span class="kw">c</span>(<span class="dv">1</span>,<span class="fl">0.75</span>), <span class="dt">ylim =</span> <span class="kw">c</span>(<span class="dv">0</span>,<span class="dv">4</span>))</span>
+<span id="cb4-6"><a href="#cb4-6"></a><span class="co">#> Warning in normalize_deathProbabilities(if (is.data.frame(t@data$dim)</span></span>
+<span id="cb4-7"><a href="#cb4-7"></a><span class="co">#> || : Reference mortality table does not contain ages</span></span>
+<span id="cb4-8"><a href="#cb4-8"></a><span class="co">#> 101102103104105106107108109110111112 required for normalization. These ages will</span></span>
+<span id="cb4-9"><a href="#cb4-9"></a><span class="co">#> not be normalized!</span></span></code></pre></div>
+<p><img 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" /><!-- --></p>
<p>For cohort life tables, the plot functions also take either the <code>YOB</code> or the <code>Period</code> parameter to plot either the cohort death probabilities for the given birth year or the period death probabilities for the given observation year.</p>
-<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r"><span class="co"># Comparison of two Austrian annuity tables for birth year 1977</span>
-<span class="kw">plot</span>(AVOe1996R.male, AVOe2005R.male, <span class="dt">YOB =</span> <span class="dv">1977</span>, <span class="dt">title =</span> <span class="st">"Comparison for YOB=1977"</span>)</code></pre></div>
-<p><img 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" /><!-- --></p>
-<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r">
-<span class="co"># Comparison of two Austrian annuity tables for observation year 2020</span>
-<span class="kw">plot</span>(AVOe1996R.male, AVOe2005R.male, <span class="dt">Period =</span> <span class="dv">2020</span>, <span class="dt">title =</span> <span class="st">"Comparison for observation year 2020"</span>)</code></pre></div>
-<p><img 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" /><!-- --></p>
+<div class="sourceCode" id="cb5"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb5-1"><a href="#cb5-1"></a><span class="co"># Comparison of two Austrian annuity tables for birth year 1977</span></span>
+<span id="cb5-2"><a href="#cb5-2"></a><span class="kw">plot</span>(AVOe1996R.male, AVOe2005R.male, <span class="dt">YOB =</span> <span class="dv">1977</span>, <span class="dt">title =</span> <span class="st">"Comparison for YOB=1977"</span>)</span></code></pre></div>
+<p><img 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" /><!-- --></p>
+<div class="sourceCode" id="cb6"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb6-1"><a href="#cb6-1"></a></span>
+<span id="cb6-2"><a href="#cb6-2"></a><span class="co"># Comparison of two Austrian annuity tables for observation year 2020</span></span>
+<span id="cb6-3"><a href="#cb6-3"></a><span class="kw">plot</span>(AVOe1996R.male, AVOe2005R.male, <span class="dt">Period =</span> <span class="dv">2020</span>, <span class="dt">title =</span> <span class="st">"Comparison for observation year 2020"</span>)</span></code></pre></div>
+<p><img 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" /><!-- --></p>
</div>
<div id="obtaining-period-and-cohort-death-probabilities" class="section level3">
<h3>Obtaining period and cohort death probabilities</h3>
@@ -269,35 +508,35 @@ code > span.in { color: #60a0b0; font-weight: bold; font-style: italic; } /* Inf
<li><code>deathProbabilities</code>: Returns the (cohort) death probabilities of the life table given the birth year</li>
<li><code>periodDeathProbabilities</code>: Returns the (period) death probabilities of the life table for a given observation year</li>
</ul>
-<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r"><span class="kw">mortalityTables.load</span>(<span class="st">"Austria_Annuities"</span>)
-<span class="co"># Get the cohort death probabilities for Austrian Annuitants born in 1977:</span>
-qx.coh1977 =<span class="st"> </span><span class="kw">deathProbabilities</span>(AVOe2005R.male, <span class="dt">YOB =</span> <span class="dv">1977</span>)
-
-<span class="co"># Get the period death probabilities for Austrian Annuitants observed in the year 2020:</span>
-qx.per2020 =<span class="st"> </span><span class="kw">periodDeathProbabilities</span>(AVOe2005R.male, <span class="dt">Period =</span> <span class="dv">2020</span>)</code></pre></div>
+<div class="sourceCode" id="cb7"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb7-1"><a href="#cb7-1"></a><span class="kw">mortalityTables.load</span>(<span class="st">"Austria_Annuities"</span>)</span>
+<span id="cb7-2"><a href="#cb7-2"></a><span class="co"># Get the cohort death probabilities for Austrian Annuitants born in 1977:</span></span>
+<span id="cb7-3"><a href="#cb7-3"></a>qx.coh1977 =<span class="st"> </span><span class="kw">deathProbabilities</span>(AVOe2005R.male, <span class="dt">YOB =</span> <span class="dv">1977</span>)</span>
+<span id="cb7-4"><a href="#cb7-4"></a></span>
+<span id="cb7-5"><a href="#cb7-5"></a><span class="co"># Get the period death probabilities for Austrian Annuitants observed in the year 2020:</span></span>
+<span id="cb7-6"><a href="#cb7-6"></a>qx.per2020 =<span class="st"> </span><span class="kw">periodDeathProbabilities</span>(AVOe2005R.male, <span class="dt">Period =</span> <span class="dv">2020</span>)</span></code></pre></div>
<p>These functions return the death probabilities as a simple, numeric R vector.</p>
<p>There are two similar functions that return the death probabilities as a period life table object that can be used with all other functions provided by this package:</p>
<ul>
<li><code>getCohortTable</code>: Get a <code>mortalityTable</code> object describing the death probabilities for people born in the given year</li>
<li><code>getPeriodTable</code>: Get a <code>mortalityTable</code> object describing the death probabilities observed in the given year</li>
</ul>
-<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r"><span class="co"># Get the cohort death probabilities for Austrian Annuitants born in 1977 as a mortalityTable.period object:</span>
-table.coh1977 =<span class="st"> </span><span class="kw">getCohortTable</span>(AVOe2005R.male, <span class="dt">YOB =</span> <span class="dv">1977</span>)
-
-<span class="co"># Get the period death probabilities for Austrian Annuitants observed in the year 2020:</span>
-table.per2020 =<span class="st"> </span><span class="kw">getPeriodTable</span>(AVOe2005R.male, <span class="dt">Period =</span> <span class="dv">2020</span>)
-
-<span class="co"># Compare those two in a plot:</span>
-<span class="kw">plot</span>(table.coh1977, table.per2020, <span class="dt">title =</span> <span class="st">"Comparison of cohort 1977 with Period 2020"</span>, <span class="dt">legend.position =</span> <span class="kw">c</span>(<span class="dv">1</span>,<span class="dv">0</span>))</code></pre></div>
-<p><img 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" /><!-- --></p>
+<div class="sourceCode" id="cb8"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb8-1"><a href="#cb8-1"></a><span class="co"># Get the cohort death probabilities for Austrian Annuitants born in 1977 as a mortalityTable.period object:</span></span>
+<span id="cb8-2"><a href="#cb8-2"></a>table.coh1977 =<span class="st"> </span><span class="kw">getCohortTable</span>(AVOe2005R.male, <span class="dt">YOB =</span> <span class="dv">1977</span>)</span>
+<span id="cb8-3"><a href="#cb8-3"></a></span>
+<span id="cb8-4"><a href="#cb8-4"></a><span class="co"># Get the period death probabilities for Austrian Annuitants observed in the year 2020:</span></span>
+<span id="cb8-5"><a href="#cb8-5"></a>table.per2020 =<span class="st"> </span><span class="kw">getPeriodTable</span>(AVOe2005R.male, <span class="dt">Period =</span> <span class="dv">2020</span>)</span>
+<span id="cb8-6"><a href="#cb8-6"></a></span>
+<span id="cb8-7"><a href="#cb8-7"></a><span class="co"># Compare those two in a plot:</span></span>
+<span id="cb8-8"><a href="#cb8-8"></a><span class="kw">plot</span>(table.coh1977, table.per2020, <span class="dt">title =</span> <span class="st">"Comparison of cohort 1977 with Period 2020"</span>, <span class="dt">legend.position =</span> <span class="kw">c</span>(<span class="dv">1</span>,<span class="dv">0</span>))</span></code></pre></div>
+<p><img 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" /><!-- --></p>
<p>Not surprisingly, at 43 years the two death probabilities cross, because in 2020 the person born 1977 is 43 years old, so the <span class="math inline">\(q_x\)</span> refer to the same person. However, for younger ages, the period 2020 probabilities are lower, because the mortality improvement for those younger ages has much less time in the cohort 1977 table. For ages above 43 the cohort table describes the mortality further into the future than 2020, so there is more improvement and thus lower death probabilities for the cohort life table.</p>
</div>
<div id="other-data-extraction-functions-from-life-tables" class="section level3">
<h3>Other data extraction functions from life tables</h3>
<table>
<colgroup>
-<col width="31%"></col>
-<col width="68%"></col>
+<col width="30%"></col>
+<col width="69%"></col>
</colgroup>
<thead>
<tr class="header">
@@ -339,30 +578,30 @@ table.per2020 =<span class="st"> </span><span class="kw">getPeriodTable</span>(A
<div id="period-life-tables" class="section level3">
<h3>Period life tables</h3>
<p>Period death probabilities are the simplest type of life table, giving the probabilities of death observed during the corresponding year (the “period”). The death probabilities of different ages refer to different persons, being of the corresponding ages in the observation year. All that is needed to create a period life table are the death probabilities and the corresponding ages:</p>
-<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r">lt =<span class="st"> </span><span class="kw">mortalityTable.period</span>(<span class="dt">name =</span> <span class="st">"Sample period lifetable"</span>, <span class="dt">ages =</span> <span class="dv">1</span><span class="op">:</span><span class="dv">99</span>, <span class="dt">deathProbs =</span> <span class="kw">exp</span>(<span class="op">-</span>(<span class="dv">99</span><span class="op">:</span><span class="dv">1</span>)<span class="op">/</span><span class="dv">10</span>))
-<span class="kw">plot</span>(lt, <span class="dt">title =</span> <span class="st">"Simple log-linear period mortality table"</span>)</code></pre></div>
-<p><img 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" /><!-- --></p>
-<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r"><span class="kw">deathProbabilities</span>(lt)
-<span class="co">#> [1] 5.017468e-05 5.545160e-05 6.128350e-05 6.772874e-05 7.485183e-05</span>
-<span class="co">#> [6] 8.272407e-05 9.142423e-05 1.010394e-04 1.116658e-04 1.234098e-04</span>
-<span class="co">#> [11] 1.363889e-04 1.507331e-04 1.665858e-04 1.841058e-04 2.034684e-04</span>
-<span class="co">#> [16] 2.248673e-04 2.485168e-04 2.746536e-04 3.035391e-04 3.354626e-04</span>
-<span class="co">#> [21] 3.707435e-04 4.097350e-04 4.528272e-04 5.004514e-04 5.530844e-04</span>
-<span class="co">#> [26] 6.112528e-04 6.755388e-04 7.465858e-04 8.251049e-04 9.118820e-04</span>
-<span class="co">#> [31] 1.007785e-03 1.113775e-03 1.230912e-03 1.360368e-03 1.503439e-03</span>
-<span class="co">#> [36] 1.661557e-03 1.836305e-03 2.029431e-03 2.242868e-03 2.478752e-03</span>
-<span class="co">#> [41] 2.739445e-03 3.027555e-03 3.345965e-03 3.697864e-03 4.086771e-03</span>
-<span class="co">#> [46] 4.516581e-03 4.991594e-03 5.516564e-03 6.096747e-03 6.737947e-03</span>
-<span class="co">#> [51] 7.446583e-03 8.229747e-03 9.095277e-03 1.005184e-02 1.110900e-02</span>
-<span class="co">#> [56] 1.227734e-02 1.356856e-02 1.499558e-02 1.657268e-02 1.831564e-02</span>
-<span class="co">#> [61] 2.024191e-02 2.237077e-02 2.472353e-02 2.732372e-02 3.019738e-02</span>
-<span class="co">#> [66] 3.337327e-02 3.688317e-02 4.076220e-02 4.504920e-02 4.978707e-02</span>
-<span class="co">#> [71] 5.502322e-02 6.081006e-02 6.720551e-02 7.427358e-02 8.208500e-02</span>
-<span class="co">#> [76] 9.071795e-02 1.002588e-01 1.108032e-01 1.224564e-01 1.353353e-01</span>
-<span class="co">#> [81] 1.495686e-01 1.652989e-01 1.826835e-01 2.018965e-01 2.231302e-01</span>
-<span class="co">#> [86] 2.465970e-01 2.725318e-01 3.011942e-01 3.328711e-01 3.678794e-01</span>
-<span class="co">#> [91] 4.065697e-01 4.493290e-01 4.965853e-01 5.488116e-01 6.065307e-01</span>
-<span class="co">#> [96] 6.703200e-01 7.408182e-01 8.187308e-01 9.048374e-01</span></code></pre></div>
+<div class="sourceCode" id="cb9"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb9-1"><a href="#cb9-1"></a>lt =<span class="st"> </span><span class="kw">mortalityTable.period</span>(<span class="dt">name =</span> <span class="st">"Sample period lifetable"</span>, <span class="dt">ages =</span> <span class="dv">1</span><span class="op">:</span><span class="dv">99</span>, <span class="dt">deathProbs =</span> <span class="kw">exp</span>(<span class="op">-</span>(<span class="dv">99</span><span class="op">:</span><span class="dv">1</span>)<span class="op">/</span><span class="dv">10</span>))</span>
+<span id="cb9-2"><a href="#cb9-2"></a><span class="kw">plot</span>(lt, <span class="dt">title =</span> <span class="st">"Simple log-linear period mortality table"</span>)</span></code></pre></div>
+<p><img src="data:image/png;base64,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" /><!-- --></p>
+<div class="sourceCode" id="cb10"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb10-1"><a href="#cb10-1"></a><span class="kw">deathProbabilities</span>(lt)</span>
+<span id="cb10-2"><a href="#cb10-2"></a><span class="co">#> [1] 5.017468e-05 5.545160e-05 6.128350e-05 6.772874e-05 7.485183e-05</span></span>
+<span id="cb10-3"><a href="#cb10-3"></a><span class="co">#> [6] 8.272407e-05 9.142423e-05 1.010394e-04 1.116658e-04 1.234098e-04</span></span>
+<span id="cb10-4"><a href="#cb10-4"></a><span class="co">#> [11] 1.363889e-04 1.507331e-04 1.665858e-04 1.841058e-04 2.034684e-04</span></span>
+<span id="cb10-5"><a href="#cb10-5"></a><span class="co">#> [16] 2.248673e-04 2.485168e-04 2.746536e-04 3.035391e-04 3.354626e-04</span></span>
+<span id="cb10-6"><a href="#cb10-6"></a><span class="co">#> [21] 3.707435e-04 4.097350e-04 4.528272e-04 5.004514e-04 5.530844e-04</span></span>
+<span id="cb10-7"><a href="#cb10-7"></a><span class="co">#> [26] 6.112528e-04 6.755388e-04 7.465858e-04 8.251049e-04 9.118820e-04</span></span>
+<span id="cb10-8"><a href="#cb10-8"></a><span class="co">#> [31] 1.007785e-03 1.113775e-03 1.230912e-03 1.360368e-03 1.503439e-03</span></span>
+<span id="cb10-9"><a href="#cb10-9"></a><span class="co">#> [36] 1.661557e-03 1.836305e-03 2.029431e-03 2.242868e-03 2.478752e-03</span></span>
+<span id="cb10-10"><a href="#cb10-10"></a><span class="co">#> [41] 2.739445e-03 3.027555e-03 3.345965e-03 3.697864e-03 4.086771e-03</span></span>
+<span id="cb10-11"><a href="#cb10-11"></a><span class="co">#> [46] 4.516581e-03 4.991594e-03 5.516564e-03 6.096747e-03 6.737947e-03</span></span>
+<span id="cb10-12"><a href="#cb10-12"></a><span class="co">#> [51] 7.446583e-03 8.229747e-03 9.095277e-03 1.005184e-02 1.110900e-02</span></span>
+<span id="cb10-13"><a href="#cb10-13"></a><span class="co">#> [56] 1.227734e-02 1.356856e-02 1.499558e-02 1.657268e-02 1.831564e-02</span></span>
+<span id="cb10-14"><a href="#cb10-14"></a><span class="co">#> [61] 2.024191e-02 2.237077e-02 2.472353e-02 2.732372e-02 3.019738e-02</span></span>
+<span id="cb10-15"><a href="#cb10-15"></a><span class="co">#> [66] 3.337327e-02 3.688317e-02 4.076220e-02 4.504920e-02 4.978707e-02</span></span>
+<span id="cb10-16"><a href="#cb10-16"></a><span class="co">#> [71] 5.502322e-02 6.081006e-02 6.720551e-02 7.427358e-02 8.208500e-02</span></span>
+<span id="cb10-17"><a href="#cb10-17"></a><span class="co">#> [76] 9.071795e-02 1.002588e-01 1.108032e-01 1.224564e-01 1.353353e-01</span></span>
+<span id="cb10-18"><a href="#cb10-18"></a><span class="co">#> [81] 1.495686e-01 1.652989e-01 1.826835e-01 2.018965e-01 2.231302e-01</span></span>
+<span id="cb10-19"><a href="#cb10-19"></a><span class="co">#> [86] 2.465970e-01 2.725318e-01 3.011942e-01 3.328711e-01 3.678794e-01</span></span>
+<span id="cb10-20"><a href="#cb10-20"></a><span class="co">#> [91] 4.065697e-01 4.493290e-01 4.965853e-01 5.488116e-01 6.065307e-01</span></span>
+<span id="cb10-21"><a href="#cb10-21"></a><span class="co">#> [96] 6.703200e-01 7.408182e-01 8.187308e-01 9.048374e-01</span></span></code></pre></div>
<!-- ### Observed life tables -->
<!-- The observations for the given years -->
<!-- TODO -->
@@ -376,49 +615,49 @@ table.per2020 =<span class="st"> </span><span class="kw">getPeriodTable</span>(A
<li>The base year (numeric)</li>
<li></li>
</ul>
-<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r">atPlus2 =<span class="st"> </span><span class="kw">mortalityTable.trendProjection</span>(
- <span class="dt">name =</span> <span class="st">"Austrian Census Males 2011, 2% yearly trend"</span>,
- <span class="dt">baseYear =</span> <span class="dv">2011</span>,
- <span class="dt">deathProbs =</span> <span class="kw">deathProbabilities</span>(mort.AT.census.<span class="fl">2011.</span>male),
- <span class="dt">ages =</span> <span class="kw">ages</span>(mort.AT.census.<span class="fl">2011.</span>male),
- <span class="dt">trend =</span> <span class="kw">rep</span>(<span class="fl">0.02</span>, <span class="kw">length</span>(<span class="kw">ages</span>(mort.AT.census.<span class="fl">2011.</span>male)))
-)</code></pre></div>
+<div class="sourceCode" id="cb11"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb11-1"><a href="#cb11-1"></a>atPlus2 =<span class="st"> </span><span class="kw">mortalityTable.trendProjection</span>(</span>
+<span id="cb11-2"><a href="#cb11-2"></a> <span class="dt">name =</span> <span class="st">"Austrian Census Males 2011, 2% yearly trend"</span>,</span>
+<span id="cb11-3"><a href="#cb11-3"></a> <span class="dt">baseYear =</span> <span class="dv">2011</span>,</span>
+<span id="cb11-4"><a href="#cb11-4"></a> <span class="dt">deathProbs =</span> <span class="kw">deathProbabilities</span>(mort.AT.census.<span class="fl">2011.</span>male),</span>
+<span id="cb11-5"><a href="#cb11-5"></a> <span class="dt">ages =</span> <span class="kw">ages</span>(mort.AT.census.<span class="fl">2011.</span>male),</span>
+<span id="cb11-6"><a href="#cb11-6"></a> <span class="dt">trend =</span> <span class="kw">rep</span>(<span class="fl">0.02</span>, <span class="kw">length</span>(<span class="kw">ages</span>(mort.AT.census.<span class="fl">2011.</span>male)))</span>
+<span id="cb11-7"><a href="#cb11-7"></a>)</span></code></pre></div>
<p>Some life tables do not assume a constant age-specific trend over time, but rather assume that the currently observed high mortality improvements are just a temporary effect, so the current trend is in effect only for some time and then reduces to some kind of long-term trend.</p>
<p>There are two conceptual approaches: One is to use a trend dampening function that is simply applied to the starting trend. So, while the initial trend might be 3%, i.e. the projection will use <code>(ObservationYear-BaseYear) * OriginalYear</code>, over time it will assume the value <code>dampeningFunction(ObservationYear-BaseYear) * OriginalTrend</code>. The dampening function in this case gives the cumulated trend effect from the base year until the observation year. To implement this trend reduction with the MortalityTables package, simply pass a one-argument function as the <code>dampingFunction</code> slot to the class, the argument will be the number of years from the base year (NOT the calendar year!):</p>
-<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r">atPlus2.damp =<span class="st"> </span><span class="kw">mortalityTable.trendProjection</span>(
- <span class="dt">name =</span> <span class="st">"Austrian M '11, 2% yearly, damping until 2111"</span>,
- <span class="dt">baseYear =</span> <span class="dv">2011</span>,
- <span class="dt">deathProbs =</span> <span class="kw">deathProbabilities</span>(mort.AT.census.<span class="fl">2011.</span>male),
- <span class="dt">ages =</span> <span class="kw">ages</span>(mort.AT.census.<span class="fl">2011.</span>male),
- <span class="dt">trend =</span> <span class="kw">rep</span>(<span class="fl">0.02</span>, <span class="kw">length</span>(<span class="kw">ages</span>(mort.AT.census.<span class="fl">2011.</span>male))),
- <span class="co"># damping function: 2011: full effect, linear reduction until yearly trend=0 in 2111:</span>
- <span class="co"># 2011: 100%, 2012: 99%, 2013: 98% => For 2013 we have a cumulative trend </span>
- <span class="co"># of 297% instead of 300% for three full yearly trends!</span>
- <span class="dt">dampingFunction =</span> <span class="cf">function</span>(n) { n <span class="op">-</span><span class="st"> </span>n <span class="op">*</span><span class="st"> </span>(n <span class="op">+</span><span class="st"> </span><span class="dv">1</span>) <span class="op">/</span><span class="st"> </span><span class="dv">2</span> <span class="op">/</span><span class="st"> </span><span class="dv">100</span> }
-)
-
-<span class="kw">plot</span>(mort.AT.census.<span class="fl">2011.</span>male, atPlus2, atPlus2.damp, <span class="dt">YOB =</span> <span class="dv">2011</span>, <span class="dt">legend.position =</span> <span class="kw">c</span>(<span class="fl">0.8</span>,<span class="fl">0.75</span>))</code></pre></div>
-<p><img src="data:image/png;base64,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" /><!-- --></p>
+<div class="sourceCode" id="cb12"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb12-1"><a href="#cb12-1"></a>atPlus2.damp =<span class="st"> </span><span class="kw">mortalityTable.trendProjection</span>(</span>
+<span id="cb12-2"><a href="#cb12-2"></a> <span class="dt">name =</span> <span class="st">"Austrian M '11, 2% yearly, damping until 2111"</span>,</span>
+<span id="cb12-3"><a href="#cb12-3"></a> <span class="dt">baseYear =</span> <span class="dv">2011</span>,</span>
+<span id="cb12-4"><a href="#cb12-4"></a> <span class="dt">deathProbs =</span> <span class="kw">deathProbabilities</span>(mort.AT.census.<span class="fl">2011.</span>male),</span>
+<span id="cb12-5"><a href="#cb12-5"></a> <span class="dt">ages =</span> <span class="kw">ages</span>(mort.AT.census.<span class="fl">2011.</span>male),</span>
+<span id="cb12-6"><a href="#cb12-6"></a> <span class="dt">trend =</span> <span class="kw">rep</span>(<span class="fl">0.02</span>, <span class="kw">length</span>(<span class="kw">ages</span>(mort.AT.census.<span class="fl">2011.</span>male))),</span>
+<span id="cb12-7"><a href="#cb12-7"></a> <span class="co"># damping function: 2011: full effect, linear reduction until yearly trend=0 in 2111:</span></span>
+<span id="cb12-8"><a href="#cb12-8"></a> <span class="co"># 2011: 100%, 2012: 99%, 2013: 98% => For 2013 we have a cumulative trend </span></span>
+<span id="cb12-9"><a href="#cb12-9"></a> <span class="co"># of 297% instead of 300% for three full yearly trends!</span></span>
+<span id="cb12-10"><a href="#cb12-10"></a> <span class="dt">dampingFunction =</span> <span class="cf">function</span>(n) { n <span class="op">-</span><span class="st"> </span>n <span class="op">*</span><span class="st"> </span>(n <span class="op">+</span><span class="st"> </span><span class="dv">1</span>) <span class="op">/</span><span class="st"> </span><span class="dv">2</span> <span class="op">/</span><span class="st"> </span><span class="dv">100</span> }</span>
+<span id="cb12-11"><a href="#cb12-11"></a>)</span>
+<span id="cb12-12"><a href="#cb12-12"></a></span>
+<span id="cb12-13"><a href="#cb12-13"></a><span class="kw">plot</span>(mort.AT.census.<span class="fl">2011.</span>male, atPlus2, atPlus2.damp, <span class="dt">YOB =</span> <span class="dv">2011</span>, <span class="dt">legend.position =</span> <span class="kw">c</span>(<span class="fl">0.8</span>,<span class="fl">0.75</span>))</span></code></pre></div>
+<p><img src="data:image/png;base64,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" /><!-- --></p>
<p>The other approach is to assume that instead of the initial trend, after some time a second trend (slot trend2) takes over. In this case, the <code>dampingFunction</code> slot is again a one-argument function that now gives the weight of the first trend, while <code>1-dampingFunction(year)</code> will give the weight of the second trend. As the weights will be applied for the whole period from the base- to the observation year, the weights need to be cumulated and normalized.</p>
<p>The argument in this case is the actual calendar year (not the year since the base year like it was in the one-trend case above!)</p>
-<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r">atPlus2.damp2 =<span class="st"> </span><span class="kw">mortalityTable.trendProjection</span>(
- <span class="dt">name =</span> <span class="st">"Austrian M '11, 2% yearly, 1% long-term"</span>,
- <span class="dt">baseYear =</span> <span class="dv">2011</span>,
- <span class="dt">deathProbs =</span> <span class="kw">deathProbabilities</span>(mort.AT.census.<span class="fl">2011.</span>male),
- <span class="dt">ages =</span> <span class="kw">ages</span>(mort.AT.census.<span class="fl">2011.</span>male),
- <span class="dt">trend =</span> <span class="kw">rep</span>(<span class="fl">0.02</span>, <span class="kw">length</span>(<span class="kw">ages</span>(mort.AT.census.<span class="fl">2011.</span>male))),
- <span class="dt">trend2 =</span> <span class="kw">rep</span>(<span class="fl">0.01</span>, <span class="kw">length</span>(<span class="kw">ages</span>(mort.AT.census.<span class="fl">2011.</span>male))),
- <span class="co"># damping function interpolates between the two trends: </span>
- <span class="co"># until 2021 trend 1, from 2031 trend 2, linearly beteen</span>
- <span class="dt">dampingFunction =</span> <span class="cf">function</span>(year) {
- <span class="cf">if</span> (year <span class="op"><=</span><span class="st"> </span><span class="dv">2021</span>) <span class="dv">1</span>
- <span class="cf">else</span> <span class="cf">if</span> (year <span class="op">></span><span class="st"> </span><span class="dv">2031</span>) <span class="fl">14.5</span><span class="op">/</span>(year <span class="op">-</span><span class="st"> </span><span class="dv">2011</span>)
- <span class="cf">else</span> <span class="dv">1</span> <span class="op">-</span><span class="st"> </span>(year <span class="op">-</span><span class="st"> </span><span class="dv">2021</span>)<span class="op">*</span>(year <span class="op">-</span><span class="st"> </span><span class="dv">2021</span> <span class="op">+</span><span class="st"> </span><span class="dv">1</span>) <span class="op">/</span><span class="st"> </span><span class="dv">20</span> <span class="op">/</span><span class="st"> </span>(year <span class="op">-</span><span class="st"> </span><span class="dv">2011</span>)
- }
-)
-
-<span class="kw">plot</span>(mort.AT.census.<span class="fl">2011.</span>male, atPlus2, atPlus2.damp, atPlus2.damp2, <span class="dt">YOB =</span> <span class="dv">2011</span>, <span class="dt">legend.position =</span> <span class="kw">c</span>(<span class="fl">0.8</span>,<span class="fl">0.75</span>))</code></pre></div>
-<p><img src="data:image/png;base64,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" /><!-- --></p>
+<div class="sourceCode" id="cb13"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb13-1"><a href="#cb13-1"></a>atPlus2.damp2 =<span class="st"> </span><span class="kw">mortalityTable.trendProjection</span>(</span>
+<span id="cb13-2"><a href="#cb13-2"></a> <span class="dt">name =</span> <span class="st">"Austrian M '11, 2% yearly, 1% long-term"</span>,</span>
+<span id="cb13-3"><a href="#cb13-3"></a> <span class="dt">baseYear =</span> <span class="dv">2011</span>,</span>
+<span id="cb13-4"><a href="#cb13-4"></a> <span class="dt">deathProbs =</span> <span class="kw">deathProbabilities</span>(mort.AT.census.<span class="fl">2011.</span>male),</span>
+<span id="cb13-5"><a href="#cb13-5"></a> <span class="dt">ages =</span> <span class="kw">ages</span>(mort.AT.census.<span class="fl">2011.</span>male),</span>
+<span id="cb13-6"><a href="#cb13-6"></a> <span class="dt">trend =</span> <span class="kw">rep</span>(<span class="fl">0.02</span>, <span class="kw">length</span>(<span class="kw">ages</span>(mort.AT.census.<span class="fl">2011.</span>male))),</span>
+<span id="cb13-7"><a href="#cb13-7"></a> <span class="dt">trend2 =</span> <span class="kw">rep</span>(<span class="fl">0.01</span>, <span class="kw">length</span>(<span class="kw">ages</span>(mort.AT.census.<span class="fl">2011.</span>male))),</span>
+<span id="cb13-8"><a href="#cb13-8"></a> <span class="co"># damping function interpolates between the two trends: </span></span>
+<span id="cb13-9"><a href="#cb13-9"></a> <span class="co"># until 2021 trend 1, from 2031 trend 2, linearly beteen</span></span>
+<span id="cb13-10"><a href="#cb13-10"></a> <span class="dt">dampingFunction =</span> <span class="cf">function</span>(year) { </span>
+<span id="cb13-11"><a href="#cb13-11"></a> <span class="cf">if</span> (year <span class="op"><=</span><span class="st"> </span><span class="dv">2021</span>) <span class="dv">1</span></span>
+<span id="cb13-12"><a href="#cb13-12"></a> <span class="cf">else</span> <span class="cf">if</span> (year <span class="op">></span><span class="st"> </span><span class="dv">2031</span>) <span class="fl">14.5</span><span class="op">/</span>(year <span class="op">-</span><span class="st"> </span><span class="dv">2011</span>)</span>
+<span id="cb13-13"><a href="#cb13-13"></a> <span class="cf">else</span> <span class="dv">1</span> <span class="op">-</span><span class="st"> </span>(year <span class="op">-</span><span class="st"> </span><span class="dv">2021</span>)<span class="op">*</span>(year <span class="op">-</span><span class="st"> </span><span class="dv">2021</span> <span class="op">+</span><span class="st"> </span><span class="dv">1</span>) <span class="op">/</span><span class="st"> </span><span class="dv">20</span> <span class="op">/</span><span class="st"> </span>(year <span class="op">-</span><span class="st"> </span><span class="dv">2011</span>)</span>
+<span id="cb13-14"><a href="#cb13-14"></a> }</span>
+<span id="cb13-15"><a href="#cb13-15"></a>)</span>
+<span id="cb13-16"><a href="#cb13-16"></a></span>
+<span id="cb13-17"><a href="#cb13-17"></a><span class="kw">plot</span>(mort.AT.census.<span class="fl">2011.</span>male, atPlus2, atPlus2.damp, atPlus2.damp2, <span class="dt">YOB =</span> <span class="dv">2011</span>, <span class="dt">legend.position =</span> <span class="kw">c</span>(<span class="fl">0.8</span>,<span class="fl">0.75</span>))</span></code></pre></div>
+<p><img src="data:image/png;base64,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" /><!-- --></p>
</div>
<div id="cohort-life-tables-with-age-shift" class="section level3">
<h3>Cohort life tables with age-shift</h3>
@@ -429,33 +668,33 @@ table.per2020 =<span class="st"> </span><span class="kw">getPeriodTable</span>(A
<p>So, an age-shifted cohort life table just needs the base table and for each birth year the amount the age is modified.</p>
<p>For those people, who think visually, age shifting works on the death probabilities as following: A normal trend moves the <span class="math inline">\(q_x\)</span> curve downwards. Age-shifting approximates this by shifting the <span class="math inline">\(q_x\)</span> curve to the right without modifying its values.</p>
<p>The following example clearly shows this, with the blue curve being the base table for YOB 2011. A full trend projection moves the curve down to the green line, while age-shifting moves the base curve to the right so that it coincides as much as possible with the exact (green) line.</p>
-<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r">baseTableShift =<span class="st"> </span><span class="kw">getCohortTable</span>(atPlus2, <span class="dt">YOB =</span> <span class="dv">2011</span>);
-baseTableShift<span class="op">@</span>name =<span class="st"> "Base table of the shift (YOB 2011)"</span>
-
-atShifted =<span class="st"> </span><span class="kw">mortalityTable.ageShift</span>(
- <span class="dt">name =</span> <span class="st">"Approximation with age shift"</span>,
- <span class="dt">baseYear =</span> <span class="dv">2011</span>,
- <span class="dt">deathProbs =</span> <span class="kw">deathProbabilities</span>(baseTableShift),
- <span class="dt">ages =</span> <span class="kw">ages</span>(baseTableShift),
- <span class="dt">ageShifts =</span> <span class="kw">data.frame</span>(
- <span class="dt">shifts =</span> <span class="kw">c</span>(
- <span class="kw">rep</span>( <span class="dv">0</span>, <span class="dv">3</span>),
- <span class="kw">rep</span>(<span class="op">-</span><span class="dv">1</span>, <span class="dv">3</span>),
- <span class="kw">rep</span>(<span class="op">-</span><span class="dv">2</span>, <span class="dv">3</span>),
- <span class="kw">rep</span>(<span class="op">-</span><span class="dv">3</span>, <span class="dv">3</span>),
- <span class="kw">rep</span>(<span class="op">-</span><span class="dv">4</span>, <span class="dv">3</span>),
- <span class="kw">rep</span>(<span class="op">-</span><span class="dv">5</span>, <span class="dv">3</span>),
- <span class="kw">rep</span>(<span class="op">-</span><span class="dv">6</span>, <span class="dv">3</span>)
- ),
- <span class="dt">row.names =</span> <span class="dv">2011</span><span class="op">:</span><span class="dv">2031</span>
- )
-)
-
-<span class="kw">ageShift</span>(atShifted, <span class="dt">YOB =</span> <span class="dv">2021</span>)
-<span class="co">#> [1] -3</span>
-
-<span class="kw">plot</span>(baseTableShift, atPlus2, atShifted, <span class="dt">YOB =</span> <span class="dv">2021</span>, <span class="dt">legend.position =</span> <span class="kw">c</span>(<span class="fl">0.8</span>,<span class="fl">0.75</span>))</code></pre></div>
-<p><img 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" /><!-- --></p>
+<div class="sourceCode" id="cb14"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb14-1"><a href="#cb14-1"></a>baseTableShift =<span class="st"> </span><span class="kw">getCohortTable</span>(atPlus2, <span class="dt">YOB =</span> <span class="dv">2011</span>);</span>
+<span id="cb14-2"><a href="#cb14-2"></a>baseTableShift<span class="op">@</span>name =<span class="st"> "Base table of the shift (YOB 2011)"</span></span>
+<span id="cb14-3"><a href="#cb14-3"></a></span>
+<span id="cb14-4"><a href="#cb14-4"></a>atShifted =<span class="st"> </span><span class="kw">mortalityTable.ageShift</span>(</span>
+<span id="cb14-5"><a href="#cb14-5"></a> <span class="dt">name =</span> <span class="st">"Approximation with age shift"</span>,</span>
+<span id="cb14-6"><a href="#cb14-6"></a> <span class="dt">baseYear =</span> <span class="dv">2011</span>,</span>
+<span id="cb14-7"><a href="#cb14-7"></a> <span class="dt">deathProbs =</span> <span class="kw">deathProbabilities</span>(baseTableShift),</span>
+<span id="cb14-8"><a href="#cb14-8"></a> <span class="dt">ages =</span> <span class="kw">ages</span>(baseTableShift),</span>
+<span id="cb14-9"><a href="#cb14-9"></a> <span class="dt">ageShifts =</span> <span class="kw">data.frame</span>(</span>
+<span id="cb14-10"><a href="#cb14-10"></a> <span class="dt">shifts =</span> <span class="kw">c</span>(</span>
+<span id="cb14-11"><a href="#cb14-11"></a> <span class="kw">rep</span>( <span class="dv">0</span>, <span class="dv">3</span>), </span>
+<span id="cb14-12"><a href="#cb14-12"></a> <span class="kw">rep</span>(<span class="op">-</span><span class="dv">1</span>, <span class="dv">3</span>), </span>
+<span id="cb14-13"><a href="#cb14-13"></a> <span class="kw">rep</span>(<span class="op">-</span><span class="dv">2</span>, <span class="dv">3</span>), </span>
+<span id="cb14-14"><a href="#cb14-14"></a> <span class="kw">rep</span>(<span class="op">-</span><span class="dv">3</span>, <span class="dv">3</span>), </span>
+<span id="cb14-15"><a href="#cb14-15"></a> <span class="kw">rep</span>(<span class="op">-</span><span class="dv">4</span>, <span class="dv">3</span>), </span>
+<span id="cb14-16"><a href="#cb14-16"></a> <span class="kw">rep</span>(<span class="op">-</span><span class="dv">5</span>, <span class="dv">3</span>), </span>
+<span id="cb14-17"><a href="#cb14-17"></a> <span class="kw">rep</span>(<span class="op">-</span><span class="dv">6</span>, <span class="dv">3</span>)</span>
+<span id="cb14-18"><a href="#cb14-18"></a> ),</span>
+<span id="cb14-19"><a href="#cb14-19"></a> <span class="dt">row.names =</span> <span class="dv">2011</span><span class="op">:</span><span class="dv">2031</span></span>
+<span id="cb14-20"><a href="#cb14-20"></a> )</span>
+<span id="cb14-21"><a href="#cb14-21"></a>)</span>
+<span id="cb14-22"><a href="#cb14-22"></a></span>
+<span id="cb14-23"><a href="#cb14-23"></a><span class="kw">ageShift</span>(atShifted, <span class="dt">YOB =</span> <span class="dv">2021</span>)</span>
+<span id="cb14-24"><a href="#cb14-24"></a><span class="co">#> [1] -3</span></span>
+<span id="cb14-25"><a href="#cb14-25"></a></span>
+<span id="cb14-26"><a href="#cb14-26"></a><span class="kw">plot</span>(baseTableShift, atPlus2, atShifted, <span class="dt">YOB =</span> <span class="dv">2021</span>, <span class="dt">legend.position =</span> <span class="kw">c</span>(<span class="fl">0.8</span>,<span class="fl">0.75</span>))</span></code></pre></div>
+<p><img src="data:image/png;base64,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" /><!-- --></p>
<p>As one can see, for ages above 40 years, the table with 2% yearly trend and the corresponding age-shifted table have roughly the same mortalities. Below 40 years, the two are very different, so this approximation through age-shifting should really be used with extreme care!</p>
</div>
</div>
@@ -464,43 +703,75 @@ atShifted =<span class="st"> </span><span class="kw">mortalityTable.ageShift</sp
<div id="copying-life-tables" class="section level3">
<h3>Copying life tables</h3>
<p>Life tables are simple pass-by-value S4 objects, so copying works by simple assignment.</p>
-<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r">b =<span class="st"> </span>AVOe2005R.female
-b<span class="op">@</span>name =<span class="st"> "Modified Copy"</span>
-<span class="co"># only b is modified, not the original table</span>
-b<span class="op">@</span>modification =<span class="st"> </span><span class="cf">function</span>(qx) <span class="kw">pmax</span>(qx, <span class="fl">0.01</span>)
-<span class="kw">plot</span>(AVOe2005R.female, b, <span class="dt">YOB =</span> <span class="dv">2000</span>)</code></pre></div>
-<p><img 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DZKaaBWSCkVBMFqtSpPJUlyPRZFURRFnue9NjEM45o/yL1JkiRKqWuSZPcmWZaVVvcm5QoHSqkoiu7rt9lsrosfijVJksSybKkCF5vwyDOwXHSiarHAsiwXS+XqN/dUgiBQSpXAyru4fjVBEHwFVlIJglDablR4Nql0o0pg/7tRfdyJ2+TYKuOuxCjtuKtvqAzD+OpG4mPcVbqxbOOujJd7k8qGqhI4ZOOuvIvrVwvPcVf/vIfhuMuy7P+GeubypQcPHz9vMP6QFN+hfn2vrypPn3dZloul8mfcXRuq6z9YVzd6ncNOEZEFnmEYo9GoTHQTEE6nU6fTuVYoiqLrscPh0Ol0Op3Os8npdDIMYzAYPJsEQZBlWZlMt1iTJEk8zxd7L/f/a1xNyhqU0VU+P+6p9Ho9x3GlCqxsvr4Cu6+/WGBBENyfGo1G15ZKKXU1UUoNBoOSyul0Kq9yfdJcTZ7dyLKsXq/3GphS6rUblQ+k18DK/wJeu9EzsKvJ/27UcNx5nlfZUDmO89WNxMe4q3Rj2ca9WOBQjrtKNyq1weu48zzP87zrVwv2uCudE9jPexiOu8qGWmzcz1y9OvBMtpXT/1q/TtOaNUM27p7dGObj7tpQlSXdx728FfgjR4706NFDedy9e/e5c+fe+joZhnF9ftwfsyzLsqyvJl+vUobQaxOl1HOFrj/fPFfoGvhiTSqpVJp8pVL+2PQV2DOVEphhGM8m5anrvZQl1VOpNPlKJcuyr1epdKNn4LKl0mrcvS7pT2BfqVS6sWzjXuxV4T/updpQy83nPdjj7vVX8wx8KDu797kL8ZTubNmkQfUaTqcTn/cSN1TlAcuyM2fO3Lx5s6sTzp07RzxEZIGPjY2tUaOG8mvffvvtWscBAIDSOZh9rvep7Oqi8EvH9tUTE7WOE3maNGmSn59PCKGUHjhwIC4uznOZiCzwDRo0mDFjBqaqBQCIRJnnzt19OruGJPyYdjuqe9kMGzZs1KhRhBBRFDt27JjsbaL+iCzwAAAQoQ6dP3/P+Uu1RGFz5w5GbzOoQ6BgohsAAAiRg9nZfc9fqi0IGV06VklI0DpOOYcCDwAAoXD0wvn+F6+m8PzmLh2T4+O1jlP+4RA9AAAE3YWc6/2yTifJdG27dFT30MAePAAABNf1gpu99x+SCVnfvHFVHJkPFezBAwBAEJlttvsyD+fp9L81vS3F28neECTYgwcAgGCxO51DDhw8YzBsaJDSrHZtreNULNiDBwCAoJBlOvzXLQdMMetrJLVNTdU6ToWDAg8AAEEx9ddf15hiF+pJz6bNtc5SEeEQPQAABN4Xu/6YozPNJMLgtDSts1RQKPAAABBgO0+fftouDrGbZ3TvrnWWiguH6AEAIJDOXLv+cM7NdoJz6V09GUxGqx0UeAAACBibwzE8+0IyYdZ07WQsuo06aCIiC/zJkydHjBih3Ba3W7du48eP1zoRAAAQQshL27adN0Rtq1UF09UF1cKFC3/77TdCCKWUEPLnn396LhORBV4URavVqhz5uXHjhtZxAACAEEIyjh37WB89U7Q3q4VL3oMrLy9PuR+8gud5z2UissA3a9YM94MHAAgrVrt97KWr7SXp6fZttM5S/r300kszZswgRfeDT0lJ8VwmIgs8AACEm4m/bfvTEPXf2xtwHKd1FiAEl8kBAMCt23rq5GJjzCwd0xgH58MGCjwAANySfIt5XG5hN7t1YteuWmeBv6HAAwDALXl+xx8WlluUnsayuOo9jOA7eAAAKLuMY8e+Msa8R4QG1WtonQX+AXvwAABQRla7fcylqx3s1sdbp2udBYrDHjwAAJTRS7//fkUf9VOTFBycD0PYgwcAgLLYdfrUAn30DFZq7u0ibNAc9uABAKDUnDw/5tzF5pRO6d1T6yzgHQo8AACU2rt7954yRu9KqaHX6ZTp0CHc4BA9AACUzpHz59/XRT0vOtqkpmqdBXzCHjwAAJSCLNNxx7NqstwrXTpqnQXUoMADAEApfPrHzp1RsWvjTTFRUVpnATU4RA8AAP66mpf7il0Ybjf3aNxE6yxQAhR4AADw14Td+1hC3+vYQesgUDIUeAAA8MsvWf9bHRX7TrSpWmKi1lmgZCjwAABQMpvD8cKNgjvs5ic64dy6yICT7AAAoGQzd+y4ajD9t1EThsGstJEBe/AAAFCCoxfOf8iZnhcdTWvX1joL+CtMCzx1nF7+/oqzktY5AAAqPErp+KNZNQTn821wy7hIEo4FnubtWfr+Z1uuoLwDAGhv0e5dv0XHzq+WHG00ap0FSiEcCzyT1H7kS2O6VsbXPAAAGssrNE8zOwbazf3T0rTOAqUTPgVeurB1yeefL9qM4/IAAGHjpT/+sHLc++mttQ4CpRY+Z9FzKd1Hju2udQoAACiSeeH8YmPM26xUr1o1WZa1jgOlE6oCL11cNf3L+Gmv3J2gHHiX8zOXf/RFximLsXbHoROf6FZDX8IKRFG02WzKY57n8/PzHQ6Hr4X1en1sbGxpM7rf8bDY49I2KQ8C0uT+w/BJFXGBA5hK28C+VhKaVGUIHJ7dGLmBQ5lKlKQJFy43I8xzvXsWy1ZiYF/rD2rgElOVoRvDIbDVarVYLBaLhRDCsiwhxOl0MgxjMBgIIaIoEh+YYkMSeNRyctPKn7bs3HW69tgvXlMKPM3PmPX8zw2mzny4ft6md1/LaDLz3cEp6t8WbNmyZfLkycpjo9G4a9culT8nGYZZsWJFjx49AvmLAABUJP85ePBlzrQ+Pqpd3bpaZ6m4du7cOWDAAJVKzTBMenr6fffd99prrxVrCsEevC629u133GfI//i060e2w3uyGvSZ0DiGY2J69U//bsWB6w+lVFc9qa5x48Yvv/yy8nj16tWDBw/W633u9ev1+u7du/u/E2+1WvV6vfLXECHE4XCYTCblsSAILMtyHOe1iWEYnU7n2SSKIqXUldC9SZZlURTd38toNCoTR8iyLAiCseg8VafTaTAYlCZKqdPpdK2E53mdTqf8Ked/YOUPvQAGppTyPO8eWK/XK6kEQXA6nTExMcqS6oHL0I2SJMmy7CuwSjf6Cux/N2o47jabjeM415L+pyI+xl29G8sw7qXaUEM57u6p3AOLouhwOFz/V4TnuJe5G8ktjPu1m/lvE92jtsLuHduUdtzLvKGGbNw9U4XtuHft2vWzzz5zOBzur5IkiWEY5XeRZXnJkiW33XYb8RD8As+YajZvX1MgOxe4Crycn5Nrqlo1hiGEEF2Vaon5127IpDqntpqaNWs++OCDyuO9e/eOHTs2Ojo6UBltNptOp3PvVtdjSqlOp3MNoXsTIYRhGFePuzfxPC/LstcVKp+6Yk3K6EqSRCl1X9JoNLo+P6Ioum89BoPBtc35GdjpdBJCfAWWJMmfwIIguALLsuz+KkmSjEaj60OibKmuJX0FJoSwLOv6JBQL7N4h7k2CILh3iHuTSjeqBw7/cbfb7SobKsdxvrqR+Bh3lW4s27hTSpUllabwGXf3V7kHdjqdxf52Ceq4u3djoD7vQRr3KZmHWJ1pZsu0Moy73W7nOM7r+kl4jLtnN4Zy3N1fVeK4R0dHjxkzxul0ms3mpKQkZUmlh12H6JcsWeIe2EWbk+woIcR9tkOZBPl7AgAA8NcvR4+sjIr7RE+qJCRonQXKTpPL5Nik5ERHTo6NEkKIlJdTkFSlVBe9HzhwoEWLFqmpqampqc8++2yQUgIAVEC8IE649Gcbu2VsR9xUJnxNmzZNKYKNGzcmhJw9e9ZzGW324KPTOjRempFx6Y4BtQp3bTpYpfPr1Uvzl0alSpV69OihHGlp165dsFICAFQ8/7d3zylj1M7a1V1HsyEMpaenK+fVU0oPHDiQ4O1YizYFnknq+cz4Kx/OnbiR5yqlDZ/Qv0apjiQ0aNBgxowZAfwOHgAACCEXrl+fyxjGCbYOtzXUOguoGTx48PDhwwkhoih27NixcuXKnsuEqsDr2z//VXu352xS+oiZ6SNC9O4AAOCHiQcPx+oMszp31joIBED4zGRXCg6HIzs7WzlpsEqVKnFxcVonAgCIeD9mZq6PjltkYCqVfqIwCDGLxXLz5k1CiCRJxGOWIUX4zEVfCpmZma6T7B544AGt4wAARDy70/nc9byuNvOQli21zgIlGzZsmPtJdgcPHvRcJiL34Js1azZ58mTlwsTU1FSt4wAARLw3t/9+yWD6PqWe+yXMELbmz5+fnZ1NCJEkafr06S1atPBcJiILfEJCQo8ePXCSHQBAQJy6emUeY3xWdLSoW5fnea3jQMlSUlIaNmxICBFFcfr06a55kNxF5CF6AAAIoImZhyuL/MyuOLeuXInIPXgAAAiUn44e+Tk6bmWcKTYqWuXWZBBxIrLAHz58uFu3bsrjO++887333tM2DwBAhLLa7VPNjt6yMLh7F62zQCm88sorv/76q+vpuXPnPJeJyAIfGxtbo0YNZZalljjhEwCgrN7+Y2eOwfBRo8ZaB4HSuf322wsKCkjRTHZeLxePyAKPmewAAG7dpRu586j+X7y1ca3aWmeB0nnkkUdGjBhBimayS05O9lymNCfZCbsWvbfxgvOvZ9R8fMWrH/8uBCAoAACE3pR9ew2y/EJamtZBIChKU+C5eg3ExQ/3eHTebycPrXzpnjue/LlK6yYReQgAAKCi23/mzApj7MwoLgnz1pVTpanPbPXuLy1f1+b5Hv2aTjbeMfvXjMmtooIWDAAAgujZE6dvY9mn7uhht9m0zgJBUZoCL19Y9/K/Zvxec9zm7D4FS6eM7TVy+Ny5EztXCfmsRydPnhwxYgTLsoSQzp07P/fcc6FOAAAQyVYfPLgjOnZdYqxep7NrHQbKYMGCBdu3bydFs9BfvXrVc5nSFHjpurn+9A1vda2uI4RMX91tyJr3Mk6InavoAxPXf6IoWq1WZT5F5Ya4AADgJ14QXyu09pDF/rg0LmJZrdb8/HzXU68TGKgWePn60W1Hrkl//6BqQ3Lst4xjRU/je/ZorsV38M2aNcNZ9AAAZfPBrj/OG0w/NKijdRAouxdffHHatGmk6Cz6OnW8jKZqfRYPLn7+if8cvlQoE4bVcYwkSpThDFFRBuXcPKbSsJVnPutrCEZ4AAAIvLxC8xyZHSlY0urW1ToLBJfqWfSGnmMfb6Sv+8Db/z2eY3XytrxTm+c91Oi2oV+fKDCbzWZz4UVUdwCASDJr924nw05L83LzMShnVAu8sHfh/BMPzP/6pXuaVjaxjKFSw17PLZ7X5ZeX/m8vpisGAIg0l27kfsoaJsh8raQkrbNA0KkWePnG9dyoxESj+8+MiZWicq66fzEPAAAR4ZV9+0yy/EJ6utZBIBRUv4PXp3Vuk/Pa6/OHr3i2dQJLCKHmw5++seRSs5eaaTq/zbVr1xYvXqzXFz99v2fPnsr9cQEAoJj/Xbq0zBgzi5WS4uNw17hIdO7cuYyMDEKIIAgMwyj3gJdlmRBitVo9l1ct1GzdJz/9vy29n+7QYEG7dk2qMLlZ+/acYbu9s+mphlxQ0vvp7NmzS5YsUX4rd7Nnz546daomkQAAwtyUI0ercvrx3XBpXKT66aefXnjhhWI/ZBgmPT09Ozvbc/kSpqrVpY5acez4pnn/6pOWUqvxnSPfWJV5YtMLLU2Bils2nTp1MpvN1AOqOwCAV/uzs9ebYt+Ij442afwfOJTZs88+qxQ7m83mdDqVxzzPE0KaN2/uubwfh9qj6nUf8UL3QAcFAICQmXnxym0cN7JbT62DQOjgXjEAAOXcukOHtsXEfR9v0nGafr0KoVWau8kBAECkoZTOuPJnus0yoDVOnq9YsAcPAFCefbd/38Go2B/jjMr9O6DiUJ/oZvu/B/97u/CPn9Eba6c99kFQMwEAQEBIkvTajfwuNkv32xppnQVCzccevHRy3fy1JxyHV64/dOJ94+6/l6KOc+uXbKg7O0TxAACg7Jbu3Ztlivm1aqLWQUADvgr8lT1r12xx5F4Wcvi1a866HddhdEkDZk8ITThfLly48OqrryrX+BxTYXwAACAASURBVHfo0GHgwIHa5gEACEOCKL5ZYOkriT2adSksLNQ6DgTS+vXrd+/eTYruB3/z5k3PZXwUeEP3Nzb/TviMaX033/Xz7F5hdkeZGzdu7Nq1S3mcm5uLAg8A4Gnxgf3ZBtPy2tW1DgKBt2nTpk2bNimPExMTr1+/7rmMrz34s5u/zMht3nXErHvz9u7YUayVTe7SqXFAo5ZOenr6Dz/8gPvBAwD44uCd79iEAbLQ4TZM4F0OffDBBwaDgRTdD75RIy/nWPgo8OKBz8c/fWTci83/896PDo9W00OCeXlgswIAQAB9tu/AnwbjG6mo7hWXjwJv7PfJiTN8fPWa894ObR4AALhVFrttrigPEcy3p9TVOgtoxtd18NHJKSnKI/nmyR3b92dlR3cd17/SmTOGBo0rF7+LGwAAhJEPdu/J0xmmNayvdRDQUgkz2fEnFg5Ka9l/3KSXpi47Jtq2Tmtbt9XoFWdxn0EAgDBlsds+EOhjDkujmjW1zgJaUi3w9Nq3U6ZmdltyPGt+3yiGMPGPfLV3fostEyavCFU8AAAonTl/7LrJ6abe3kzrIKAx9ZnsMrftTh48fmDtomPyTEyTR6cMr/r7LyFIBgAApXXTYvlIYkcL9npVq2mdBTSmfoie41inw0HdfyTm55l1xqBmAgCAsnl39y4bx72c3krrIKA9RpkExzta8PO41iPO/GvdV6n/l/bdgxe/uevUyqkjxm3utOr0J71DGLK4KVOmvPDCC1FRUYFaoSiKLMuy7F9/7kiSxBXdVFGWZYZhXDdpKNZECPH6KkoppdRXkyzLrqeiKHIcp6xf5VWlSlWGwGX7XVTeWpZlSZL0er1rMZZlAxjY/1Tub12s88vcw2VIFZBxF0WRYRiv+QM+uGUbd0qpJEnKLJMktOPuObju414slft7uW+owfj4+NrkAvV5d3/rnIKC9JPnHhPt/+7UKdjjrtLD6hvqrY+7KIqu9yrbuAckVZnHvQz/Cykbqk6nU55KksQwjPLWoij26dPn5ZdffvDBB0kxVJWcu/X1XrWMeoOeja6UGMWxCc0Gf7CnUP1FQTdp0qTLly/n5eXl5eUJgnDrK8zNzbVara6nBQUFrsc2m43nea9Ndrvd4XB4bXI6nXa73WuTIAjF3kuWZeWxKIoWi8XVZDabJUlSHsuyXFj4d79brVb3X9zPwA6HQyWwzWbzJ3BhYaErsCRJZrPZ1WSxWERRVB7b7facnBzXkiqB7Xa70+n0FdhXN/I87yuwSjeqBKaRMO55eXnuSxYLrNKNvgKrdGPZxl2WZfeVhM+4u3eje2CHw+G+oQZ73N27MVCfd/dufG7Dz6aMbRdzblBNxz0vL899yTAcdxraz3uxcXfvHD/HXdlQXUvabDar1aoUwevXr7dp02b16tXUQwln0TNJd776S9aJ7Wu/WTx//qIft2edPbRyYkvrFfVXBdvevXvr1KmTlJSUlJTUv39/bcMAAISDP/PzF+qjnpactZMra50Fgu7hhx9WimC1atUIIYcPH/ZcRvV+8MKOpV8nPPT47XXb3123PSGEEP7Sr3OfmTiHHr32bTAS+6lRo0ZjxoxRZulr3FjLSXMBAMLE23v3MZzhpfZttQ4CofDGG2+MGDGCECLL8pw5c7yWQtUCT83bXh68vGD9d8+1jiX8pV8/nDzxze8u1hk845MgJfZT5cqVBw4ciLnoAQAUV/JyF+qMz4j2qgmVtM4CodC8efPWrVsTQkRRnDNnjtHo5eR31QJv6PPemgkD7+973/XX7j73ydvfXUwZMmPTzxN71g6zu8sBAFRs/963n+WM45o31zoIhBHVAk+YhA7Tfvo5anC/ia/QnjM3/vxSL9R2AIDwcvlG7iLO9CIjJMfFa50Fwoj3Am8rLBBcV881eHzRKudjD32w4+Cl/LZxJkIIo0+Ix+FxAICw8Ob+/QbO8EKH9kT2fdkzVDzeC/yoapW+87xL7KRO1ScRQggxDab2lUGNBQAA/riYc+NLfdRUIibGxhUWFmodB8KI9wL/f4ez3pR9v4iNC1IaAAAoldmHD0fpTc91bKd1EAg73gt8zdv+PuGe8gV//lnAu094x+CLeAAA7V3IyfnKFDODiJViY7XOAmFH/SQ7+cLKJ/s+sSTL8s8vdnCIHgAgDPz72PF4nfHZLh20DgLhSLXAi/s/eXUFO3Tpnmk960S7zXnHmIIdCwAA1J28cvkbU+wbRIjDpCDgjWqBl65eyW31+EtD29YvYUZbAAAIsZmHjyRwxn91SNc6CIQp1cqtT+vcNv/I0XxceAEAEFZOXL600hj7ko7EmgJ2X00oZ7zvwZ/4Y8cNmRBCmo2+/+vn+44+PmFgu3qVo4puaccmd+mEGeABADTzyuGjVTjD6PbYfQefvBf4mXd3X+V2HfzuV5/42r3Z9JBgXh7UWAAA4MvRC+e/N8XO09NobzOQAyi8F/jlZgEFHAAgPL1y9H/VdIYxnbsQWWXGEqjoSjp7znFmzWtDe4/+8oJMiJQ1r3/6PS9+e8IWkmi+ud8PftSoURqnAQAIocMXLvwUFTsjxhiF3fcKbPz48e73gz958qTnMurXwVu3Te037Id6499uk8QSQur0f+aRvZPHPUBrZb1/R1Ai+6datWqPP/64TqcjhHTu3FnDJAAAIfbv8xfr6PRPdO2udRDQ0r333puUlEQIoZRmZGQoZb4Y1QIv7Fv1o3Xop6vf7afMkRTTqN+URdEXmz36DdG0wKekpMyYMQP3gweAiuaPk6c2xMQvNLAGvfruGZRzffv2vf/++wkhoihmZGQkJCR4LqN6iF62FFriq1b5x7Q2uvhKMU57QHMCAIBfZpw+09BhH9WhvdZBIAKoFnhD27vvzF3yxscH8iXlB9R89D9vLb7auUcoogEAgJstx49nRMfNiIvScVzJS0OFp3qQh6n2yEcLd937eMe6c5s0T63MFWQfO5ZbffjnPz8aqngAAPCXadkXW7DM/a0w8zz4pYRvcdga93+45+STG9f/fvTcdaHSoy92uqd/+5q4mRwAQGh9f+DA7ujY9UmxLMtonQUig48CL53d/GVGbvOuaTQvTyYkIbVVl1RCCCHCub07zmEmOwCAEJIkacb13C6y3K97l8LCQq3jQGTwUeDFA5+Pf/rIuBeb/+e9Hx0erZjJDgAghL7ev/+4KfrXqolaB4FI4qPAG/t9cuIMH1+95ry3Q5sHAAD+gRfEWWZbP0ns0ayL1lkgkngv8Gcz/5cvE5KTc9VrM5vYpnWDYKYCAIC/LMo8kG0wrapXU+sgEGG8F/ipndt+53lk3sU0mNpXBikQAAC4mG22dwR5iGhJr4/dKigd7wX+W6u4XOUm8AzO4QQACIV3/tiVz+lfb3qb1kEg8ngv8Cz79ywK1JF76cpN3q3eM7qEBnWTg50MAKCCu5af/yHl/iXaU6vX0DoLRB716+DlCyuf6PP4kizbP3bnmcSRct6XwUwFAADklT17CWeclNZC6yAQkVQLvLj/09e3Nn1n27qHmlbSu/2cwT0KAQCCK+vSpS8N0a8RoYq3+4gAlEi1wEt//ql/4Ll/dU3Vqy0FAAABN+XI0Sqc4YVunYksa50FIpLqzWb0rbveln3wvBiqMAAAQAgh+7LPrTPFvh5nijaZSl4awBv1m81U6vtC/xlPPTRl4PAeTWvEG4pOnsdUtQAAwTT94pVGLPd4t55aB4EIplrg+Y2T7n56lYOQrevnuf8cU9UCAATN6v37/4iO+7FSNG4LC7dCtcAbBy03C6jkAAAhwwvi1Bv53STp/u6YmBZuiX93kysGh+gBAILjoz92njNGLa5aSesgEPHC8W5yNGfHZ/M3XOcYkvLAhJFtEzFvHgBUDPkW82xeGi7aW6W01DoLRLwwvJucdP7XX7kHX321pbznwzm/XU0fUFP1VH8AgPJi5s5dNs74RutWWgeB8sDXd/DRySkpyiP55skd2/dnZUd3Hde/0pkzhgaNKwf3sniuzoBJIw0Gajl+/EZc4zjsvwNAhXDmzz8/05kmUaFu1aoWi0XrOBDxStg55k8sHJTWsv+4SS9NXXZMtG2d1rZuq9ErzgbjynjpwtYln3++aPNZiTPq8vcum/N+RvVR4zqiwANAxTDl0OF4SZzSoYPWQaCcUD2Lnl77dsrUzG5Lji/QT6n/LWHiH/lqr/OJeyZMXvHw6uGBTsKldB85tjshhJr3fv5ZZpunprevgitEAKBi2HPu7I+m2AVGNj42hlKVu3kC+Eu1wAuZ23YnD14zsLZ+nfIDJqbJo1OGz+37CyGlLPDSxVXTv4yf9srdCcoeuZyfufyjLzJOWYy1Ow6d+ES3Gn8f9nce2brnz/ycBf/eSNjq3cc+eUcVhhCSl5d3+vRpZYkbN2788ssvRqPPKfFZlu3SpYvBYPAznUWWd9ws0FttfyVwOo1OXnksCALLslzR1ajuTaIoMgzjtUmSJEqpTqfzbJJlWZIkr+9FKRUEwWCzK095njfY/z7F0el0Gh1OVyqO41iWLVVgSZIIIb6aZFnWW6x+BS6KUSwkz/N6vY1hGKVznE5nTNF/UyqBy9aNKoHVu9FXYP+7UcNxt9vtHMe5lgzDcfdMFSbj7p7fPbAkSQ6Hw31DDfq4F8WglOY7nTm5+dcE4ZKT//3qjeaSOKJTN0EQKKWyLAuC4FqJKIquqq/8pq63VmKXqkkURUmSfL2q2FsLgqD0lddUsiwrTe4rKbZksfUXW9KfJpXAsix7pioxsNe+cinWxDCMP33lZzeWNjDP89u3bxcEweFwREdHK0u6b6hKeFH0cmRd/W5yHMc6HY5//C0p5ueZdaW52Qy1nNy08qctO3edrj3W9bP8LR9/cLDh1I+m18/b9O5r762p9+7glKJvC0ydJy/u7LGaQ4cOTZ48WXlsNBoXLVokq87P/PXXX/fp08fPjGcczvtPZ/u5MABAoLCEJOt01UW++c3c5+rWcf/qvaCgwNerAtLkcDj8aXLVGwXP867HTqfTvcl9JTzPuy/pfyq73V6GwO5J3N+32JIqgdVT3XpglW5UCUwI2bp16+DBg32FIYQwDJOenn706NEhQ4YUa1It8Pr2A+9jR7w177GvUgkhhEo3j6ycOmmZfsAqtVcVp4utffsd9xnyPz7t+pHt8J6sBn0mNI7hmJhe/dO/W3Hg+kMp1VW/be/YseOPP/6oPH7nnXcWLFhg8j1FM8dxKSkprl2KEjXJzz/SoqnrkIDNZouOjlYeO51OnU7n+rPdvYnneYZh9Hq9Z5Pyd6LrEIJ7k/IHmtf3kmWZ53nX7+VwOIxGo+u3sNvtUVFRrlR6vd61Y+RnYGUL8xVYkiRfqdwDu8eglDqdTvfABoNBScXzvMPhiI+PLzEwz/Msy7r2fooFppR67UZJkkRRLG03qgT2vxs1HHeLxaLX631tqBzH+epG4mPc1buxDOPumSpMxt3hcLjyuwcWBMFut7tvqEEdd/dulGWZCEK9hHid0ynNmy3VqqNLH6CkopTabLaYmBjXqwwGgyuVxWKJjY11/S4cx7lSuTcpZcOVyr1JFEVRFF195d4kSRLP866QVqvVtdcoy7KyE+n6NY1Go5KKUmq1Wl0rKSws1Ol0riXd1+90OlmW9RWYUurqK/8DO51O91Qmk0npRlmW7Xa7qxvdA3t2o06nc22NxQIzDOO1GwVBkGXZa2CVblQJ7HXcBw4cePbsWbvdbrfb4+LilJW4f94lSXr00UdbtvRyXaX6XPQJfWYvHj9keLe6ObKk21AzzlxgaDzozeXv9FZ7VfGVmGo2b19TIDsXuAq8nJ+Ta6paNYYhhBBdlWqJ+dduyKS66jfuUVFRtWrVUh7HxMSkpqa6OujWGVm2gcnkWmGhLMXHFnUxx+p0Otfm6N7kcHAMw7hG172J53lZll2bo3uTKIo8z7m/V1zM3wPv4FjX6FoIjY6Odg28hcpxRSuxsYzBYHBtjn4GVv569RVYkiTX5qgS2Ezl2Ji/P/A2hsQWLWlliMlkUj4/DgdnkaXKRUuqBHY4OJZlXZ+fYoEppV67URAEURS9BlbpRpXA/nejhuOeL/AGg8G1ZLHAHMf56kbiY9xVurFs404pNbutJHzG3UponLfATqfTLImuDTXY4+7ejcq3A0adTvzvj9Rhl3v3c32dQSl1/zqAZVn3Lw78byJuX824N8my7OtVlFLPJiUwwzDF1s9xnGvc3ZuKrdP/wJTS0gZ2JXFvUn53lcClSuXrdyn25Zef3ei1c9THvX79+k6n02w2JyUlKUv+9W2dwUCKDs573aFVP0RPmKQ7X/0la+TenXuzLjvja6c2b9P2tqQSXuMHWiyOTEp1Sokoijdv3lT+24qJifH/u3YAgLBCr12Vdm3X9ewjVErUOgtEEkEQrFYr8fHtu6LkOWSoIBmqN2l3Z8+urRvVMJgvnz9//sKNWwvGJiUnOnJybJQQQqS8nIKkKpVLczXc3r1769Spk5SUlJSU1L9//1sLAwCgGXHNKiYunrsTd42D0hkyZIhSBKtVq0YIOXTokOcy6nvj8oWVT/Z9YkmWRf7HHrZpMLWvvJVk0WkdGi/NyLh0x4Bahbs2HazS+fXqpZmtrlGjRmPGjFF23Js1a3YrSQAAtMIePSSfPaUfOYboDcTJl/wCgCKzZ88eNWoUIUSW5Tlz5jRt2tRzGdUCL+7/5NUV7NCle6b1rBPtVoEZn2e3+YlJ6vnM+Csfzp24kecqpQ2f0L9GqWajrVy58sCBAwP4HTwAQKgJPJvxM3tbE7ZZC62jQORp0qRJWloaIUQUxTlz5nj9qlq1wEtXr+S2evyloW3r3/Js8Pr2z3/V3u05m5Q+Ymb6iFtdLQBAZJIzNhGLWTd2vNZBoNxSv0wurXPb/F1H82lqqb4iD7pr164tXrxYOdM1LS2tY8eOWicCACgF+udVecdWucudTHJVrbNARNq3b9/Ro0eJcr0lITabzXMZ7wX+xB87bsiEENJs9P1fP9939PEJA9vVqxxVdFmC1veDP3v27JIlS5Tfqn///uvWrdMwDABA6VAqfv8tUylJ7tJd6ygQqebOnfvDDz+Qooluzp4967mM9wI/8+7uq9xuA7/71Se+dm8O8v3gS9SpU6f//ve/+A4eACKRtHuHfP4cN3Is0Qf31pxQjn377beu6+A7dux4++23ey7jvcAvNwtaFnAAgHKKWsziz+vYVm2Zxk2J21SmAAFX0tlzjjNrXhvae/SXF2RCpKx5/dPvefHbE14O9QMAQMmktd8TSnX9H9A6CJR/6gXeum1qv2Ff5rXu3SaJJYSr0/+ZRxJ/HvfAK7+HKJ0Pykx2+fn5+fn5xWbwBwAIW+zZ0/KhA7p+DzDxCVpngcgmimJ+EV/LqBZ4Yd+qH61DP1397tAWsYQQEtOo35RFHz/Gr/wm0FFLBzPZAUDkEXhuw49s3fpc+05aR4GId8sz2cmWQkt8jSr/mNZGF18pxnkxoDlLzX0muyZNmmgbBgDAH+KGtYy5kBs1lvh9o0sAX2bNmjVy5EhSNJOd11KoWuANbe++M3fSGx8PXjo+PZEjhFDz0f+8tfhq51nBCewvzGQHAJFFzj4r7dwm9ehtqFZD6yxQHjRt2lS5Rawyk53rPofu1G8XW+2RjxbuuvfxjnXnNmmeWpkryD52LLf68M9/fjRIiQEAyiGeF1d+zdZJ4TveoXUUqEBKuPUrW+P+D/ecfHLj+t+PnrsuVHr0xU739G9fE3dnBQDwm7h+DS24qR85hrC3PO03gN9K3NocF/fuLGw6/Jkp059oVbhj2Xsz3/3xjDMUyQAAygHm3Blp9w5dn3sZHJyH0FIv8OKxeX1bdhk2/wAvX/nqmcfe2+3gzn356H2v7gpROh/cz6J/9FF8XwAA4crhYH/8jk2px3XtrnUUKFfGjRvnfhb9iRMnPJdRPUQv7Fuy4GjHD/YvGmS6sXjVtmpP/fLD7BZbxzUZv5q8o+X9XWrWrNmjRw+dTkcIUc4yAAAIQ/L6H4jNphs7AQfnIbCGDBnSuHFjQogsy6tXr65Rw8vxIfXL5G5cy6vd/o4G0cSesXVfQs8XW+kJVzulal5WkBL7qVatWs8//zzOogeAcCYfOkAP7JX7D2CSq2idBcqbnj179u3blxAiiuLq1avj4+M9l1H9o1KX2rje+a2/nLx57rulv5Dud7c3EPHyjh3nkmsGKTEAQPlAb+YLa1YyjZvSNh20zgIVlGqB55o88cpDV19Nq9zw8Q01x42/23Rsbo+0p7Y3GY2vvQEAfKNUXPEVo9czg4ZhWhvQivplcky1Bz7ff2LcvlNS/fbt6kbRK+3/9dGGDg/edVuI0gEARCBx8wb53Bn9k8/IMTGE57WOAxWUWoGXTi0ZPzWzx7z3h/RUdvSZmt0efSw0uQAAIhNz8bz06yau+11sw0ayKGodByoutQLPVorK37F02ZaXBo+sEVbHmE6ePDlixAjW46zU0aNHKycdAABow27Tr1nJ1Kqj691P6yhQ3mzZsuWzzz4jhEiSxDCMUgQppYSQP//803N5tQLPJPebtfCZsVMHjc155oFWdRKjuL8a2OQunRoHPLr/RFG0Wq2MxzdbZrNZkzwAAIQQQqmwchlxOvRDRxKOK3l5gNIwm83KzWFlWSaEuO/ler1zuup38PzGV4a9vc1Btk0b9aX7z00PCeblgUhbRs2aNZsxYwYukwOAsCJt3yofPyINGMxUTtY6C5RD999//4ABAwghdrud4zjllqqiKHbs2LFOnTqey6sWeOOg5WZBy0oOABAh6KUL4oafuI5dnc0x+xaEhRJuNkMIoXzBn38W8JT+/SMmpm4K/j4FAChitwvLFjNVqunuHUjsdq3TABBSUoGXL6x8su8TS7IsMnX/sWkwta8MaiwAgEjy43fUYjFMHEf0ehR4CBOqBV7c/8mrK9ihS/dM61kn2u2UdcYU7FgAABHjj9+Z/x3VDx3JVKmmdRSAv6kWeOnqldxWj780tG193CYBAMAL+expunEdadeJbdVG6ywA/6BaufVpndvmHzmaT9UWAgCooOjNfHHZYqZWHdr3Pq2zABTnfQ/+xB87bsiEENJs9P1fP9939PEJA9vVqxw218EfPny4W7duyuM+ffrMmjVLwzAAUEEJgvDVF4RhyCMjiK7kE5YBAmjWrFnr1693Pb1w4YLnMt43ypl3d1/l+Pvp7lef+Nq9Wevr4E0mU7169ZRr/GvXrq1hEgCosIRV39A/rxrGTRTi4oksax0HKpYaNWo0aNCAEEIpPXfunNFo9FzGe4EP88vfGzVqhIluAEBD3B/b5IP7dQ8NY+rUxe1kIPRGjx49btw4UjTRTbVqXk7wLPXZc0Lmu/c+9EkA0gEARCY565hu62aua3euXUetswD4VML3RpaDnz7z9LzNp/P5ohPteEs+1+uzoOcCAAhL9PJFYdmXcv1UY/8BWmcBUKNa4OXzS16YsiV56pxnyPLpXyZMnjvAsPPzd3bd/d6oEKUDAAgntKBAWLKQSUwSBz5MPG5oCRBWVDdQ8fiB47WGvvLSsOGTx/cWHUk9Hhrz9so5KV+8siJU8QAAwobTKSxeQCjVjx5HjZjvC8Kd+l+gLMuyDEMI4erfVvPMsdMiYeLbtK++/ZfQhAMACBeSRFYspXk39I+PYyolap0GoGSqBV53e4dWV5b/+6Ntl4TazRtf/+/3mTZaePzIeVNcqOIBAIQBSpm135Ozp/XDRzM1a2mdBsAvqt/Bs7WGv/d/O0e8+ury/hnPjBkl39W12ny9U2o8LSNU8XyilFIa4Bn23FfoekyLeG0q26tKtUL3H3ptCkFglVf5GbjMHVKeujEggcv21gF/lZ+Bw3/c/QwsbVpPMvfS+wcxjZoUe8cQB77F9d/iq/wPXLa3Lk/dGNjArn/dH3jtdneMStvfKCEModZL+7ftvhTb+q6uDWKZkl8UPFOmTJk0aVJUVFSgVsj+tEqulULatFeeCoKg1+uVx5IkMQzDFp1NU6yJEMJxnGeTLMuUUq9NlFJJknRF814JgqDT6RiG8WwSRZHjOKWpVKlYlvX6KlmWCSFeX6UeWJZlf34X98CSJImiaDAYlKdl/l1uvYfd3zpQPXzrqco27jzPsyzrvhJ/AquMu8rglrmHRVF0LRk+4+4rlSzLgiC4Jgnxmorbu4vbuFbs1lPo0j2oW6PObTo896cqH+rwHPeybaihHPfQp3I99kzlz7gX+x/VPbAoir1793755ZcffPBB8k/qZ9Ffytxlq9uuUZKeEEKYmNpt76ndVu0FIXLz5s1ffvnFYDAQQlq0aNGkSZNbXKH94gUuKsoU99dXD4WFhXFFj+12u06ncw2Ge5PD4WAYxvVfg3sTz/OyLJtMJs8mURR5nnfN0qM0ucbM4XDExMQoTRaLJTo6WhlCSqnFYnGtxGazGQwG13bgZ2Cn00kI8RVYkiTX30wqgc1mc2xsrOs/R5vNFhsbqzRZrVaTyaRs7g6HQwmsLKkS2OFwsCyrjKZnYEqp124UBEEURa+BVbpRJbD/3ajhuOfn5xsMBteSxQJzHOerG4mPcVfpxrKNO6XUbDb7s6GGeNytVqtrSffATqdTEATXr+Y57jFnTwmb1nEdu9JefXW3PO7u3Rioz3sYjnt+fr5er3ctGYbj7tmNQf28Fxt3u93u6hw/x93pdCorUZa02+3nzp07duwYKfpLThAE4kG1wAu7Zvca8oOxfvteffvec889fbqn14kNh+tCTp48+cUXXyi/Va9evTZv3nyLK6QGA+PEXFQA8A/s+XPCyq/ZprfrHnhIxHR1EE4mTZq0YcMGQgjDMOnp6UqxL0a1XhsH/idr79qPxt+ZdHnjnFFd61Wp0aL3Y5PfW/brqSAl9lPr1q2PHDly5syZM2fOrF279tZXyBgMRMCnFwD+Ri9f1H33NVu3vn74dittdQAAIABJREFU47jkHcLNt99+qxTBEydOEEJatWrluYz6THZcfN02fR9r0/ex5wmRC47/9PHsWR98MPnr+buH21cGJ7NflJvNBHAuemowME5noNYGAJGO3sgRFi2glRL1I57EneIgDJlMJuVmM6Io+lpGfcOljmv/2/37tm3bftu27fc/jl5ja7bo/PBzd/Yo/k1+pKN6A2O3aZ0CAMICLSwQvviEGI3CIyOjTAE7mRcgxFQLvHP1yPpDvpOqtR0w9MEJn77ZvWub1ER9qJKFlN5AC25qHQIAwoDDLixeQHhe/9SzDgOmq4MIplrgudQeD9116rfdh9Ytt1+/eP78ubNdu3bt1DIljgtVvBChej3hcYgeoMITBLpsEc3LNfxrIpNclRQWah0IoOzUZ7JrPW7ppgPn8278b/17Y7om5/y+8MV7myUn1ev0aqjihYrByOAkO4AKTpKY75bRyxf1o8YyNWtrnQbgVvlzaihniouPjYmJMhn0OpbIvMMpBT1XiBkMFJfJAVRklIrffcOcPsE+/Bhbv6HWaQACQLXAS/9bPvnRPq3rJFVp1GP0nI2XK3ef8Plv525cOTArVPFChOr12IMHqMjE9Wukg/vkex8kTZprnQUgMFS/gxez9++11H9g+lOf9OnZvn58efvm/W9UryeyTESB6MrnSYQAoELavEH6fYvu3oF8ejutswAEjPpEN/fM3brmk+d6Vs7dteLTH/8nildPnMj1Mh1e5NMbCCEUM1UBVDz6zL3S5p+5u+7h7uihdRaAQCrhO3j+xMJBaS37j5v00tRlx0Tb1mlt67YaveKsz8vqIxRVJkbGXDcAFc3B/aaMn7nO3XS979E6CkCAqRZ4eu3bKVMzuy05njW/bxRDmPhHvto7v8WWCZNXhCpeqBiMhBBcKQdQochHD5E1K8WmLbj7ytvkXQCkhAIvZG7bnTx4/MDaRV9MMzFNHp0yvOrvv4QgWUjp9YQQnEgPUHHIp04Iy5eQRk3t99xPGE1vgA0QHOqH6DmOdToc/7hhvJifZ9YZg5op9KjeQAghAvbgASoEeiFbWLqQrZ9KhgzHjWSgvFI9i17ffuB97Ii35j32VSohhFDp5pGVUyct0w9YFZpwvjgcjuzsbOUuvMnJyfHx8be4QnwHD1BxMH9elb76D1ujln7Ek05KCHFonQig1Mxmc0FBASFEkiRCCKXUcxnVAs8k9Jm9ePyQ4d3q5siSbkPNOHOBofGgN5e/0zs4gf2VmZnZokUL5X7wPXr0+PXXX291jcoePL6DByjv6OWL7FcLSWJl/ehxxGDEn/UQoYYPH75x40ZSdD/4gwcPDho0qNgyJdwGkUm689Vfskbu3bk367IzvnZq8zZtb0vS/NaJzZo1mzx5stFoJIQ0bBiAOacovoMHqADoxfP8F5+QhETd6KcIbhMHkezjjz8+d+4cIUSSpOnTp7do0cJzmZKLtXgja9f27buyLhToq2dfk5Jr9m0YE/ispZKQkNCjR48A3g+e6HSE47AHD1COyefPCYs+ZZKSxeGP6wP4vweAFurUqZOamkoIEUVx+vTpOp2Xal7C2SW2/bN7Nu44cs5PR3N5x9V9K2cOuL3pg/85VQ4nu8EN5QDKMebieWHRp0zlKoYx40kUqjtUCKp78NLJTya8darrRwe+faqZ8omwHvt0aO8Xnlr45OanQxIvdBiDEYfoAcoleuaU7pvFbM3a+tFPEZOJWK1aJwIIBdU9eDHrUFatR19+spnr792Y5mNeGVHr4K7gBws1qjdgDx6g/JEy94qLF5CadfRPPE1MJq3jAISO6h48VyullvP6TSchf9+CxZ5z3Vq1ZtBzhZ7BQHBDOYDyRdq+VVz3A9M8jb93oMlY3ibwAFCnugevS3/xw0eOTh4+68eDl246HAWXMte88cjz+/q982yo4oUOYzRSXDADUG7IsvTjKnHt91znbrpho3CjSKiAvO/BD4livnOb+2HXgJ9eKXrMmBLrLFpH7hsT9GihhUP0AOWH08mt/Fo+c1L3wENc527KnBkAFY33Av/vbbte9P2JYOPqBiuOhgwGYrVoHQIAbhXNyxWWfM7k3tANf5y7vaXWcQA0473AN2zXoSEh0qkl46dm9pj3/pCUCjBXs8FA8/EdPEBkk7PPil99QThOGjHG0LCR1nEAtKRWudlKUfk7li7bcs3LFLflj8GIQ/QAEY3Zv0f4/COmcrJ+4mRas7bWcQA0pnYWPZPcb9bCZ8ZOHTQ255kHWtVJjOL+amCTu3RqHIp0IUT1esxKDRCpBEFe8x23bxfXrpNu4BDCccSCb9ygolO9TI7f+Mqwt7c5yLZpo750/7npIcG8PKixQo8xGCkukwOIQDTnmvD1YnrjutzvAeOdvbSOAxAuVAu8cdBys1DeKrkPVK9neBR4gAgjHzkorFrOREVxY8aLVappHQcgjJR8sxn55skd2/dnZUd3Hde/0pkzhgaNK5fLC0qNRiLLROD/unUsAIQ5QdD/d42QuY9t0Ur/0FBJbyAO3Nkd4G8lFHj+xMKHe0/MkJN0N7t8/mQPYVrbMScGf7H284cbaH7P2EDTGwghlOcZFHiAsKcclmdvXFeudCeEEEnSOhRAeFG9/o1e+3bK1MxuS45nze8bxRAm/pGv9s5vsWXC5BWhihdCBgMhhOAoPUDYkzL38h/OJU4H/+gTf1V3APCgWuCFzG27kwePH1i76Jg8E9Pk0SnDq/7+SwiShZoyTzVOpAcIZ6LAbPhJ/PYr9rbGhmen0Fp1tA4EEL7Uj7RzHOt0OP5xGbyYn2fWlcd7Nvx1iN7JaB0EALyi167KXy9m8nJ1AwZzne4ghBChUOtQAOFLdQ9e337gfeyKt+btyZMIIYRKN48sf27SMv2Ah0ITLqSwBw8QxqQ9O/mP5hJJok8+/Vd1BwBVqnvwTEKf2YvHDxnerW6OLOk21IwzFxgaD3pz+Tu9QxUvdKhysylcCg8QZhieF5YvlQ/uY1u0Ig88JOK+cAD+KeFkeCbpzld/yRq5d+ferMvO+Nqpzdu0vS0p2CfQixc2zl+026aTuCaPTBjUNDokB80Zo5EQgjvGAoQVevWyfslC2WrRDR7Ote0gCAIRRa1DAUQG1WItbP/3sG3dvnm5a/u767b/62f0xtppz5+d/VXwbgkvXTx0ofETr9xT69J3b6w/MaBp65BckUeVq+MwHT1A2JAPHRBWfUMSEg0TJzOYxAaglHwUT+nkuvlrTzgOr1x/6MT7xt1/L0Ud59Yv2VB3dhAjcfXvG1Pv+o4vZv1wvuHo/lzJLwjQ23KE43CZHEBYkGVxw0/Sbxlsk+aO/gNMVapqHQgg8vgq8Ff2rF2zxZF7Wcjh164563aQnNElDZg9IQhJpAtbv/75pNTgrpF3NeCYqp2HjSaLP1y3p7Bp94RQndhuMOIkOwDt2WzMqmXSmVPcnb10fe+zm81aBwKISD4KvKH7G5t/J3zGtL6b7/p5dq9QzO3GpXQfObY7IcS5/4tPCx98pket1mnVthQIIXjrvzBGI8UhegBN0atXyJLPqd1mGPUvtkkzreMARDDV77cNvWb/+vetmSjv4HUmo+qFdT5JF1dN/zJ+2it3/7U7LudnLv/oi4xTFmPtjkMnPtGtxt8nxhqbdanxf++9vtNI2YYPjq/81+772bNn169frzw+ceLEyy+/zHE+D99zHDd27NgaNWr4mY5SKggCq9NJVqvTahVF0Wq1Kk2iKIqiyBcdui/WxDCMWHTKj3uTJEmUUqlo7kz3JlmWlVZXk81mc8VwX1IQBJvNxjCM50oEQZAkiWVZr6l8BVbyqASWZbm0gQVBcE9FKVUCK+9itVqVp+qBGYYRBKG03ajwbFLpRpXA/nejhuNeLL//3Uh8jLtKN5Zt3ElpNlTPwOyxw+za1TQhkR81TqpajVit/gdWH/diTa7ASue4frXwHPcyf3yIRuMuy3LZNtSAf959jbtnqlCOe7FuVB/33NzcTz/9lOd5WZY5jlOWVLpC2SSUd8nPzycefBV4WnDo248W/Rr78CfPddYT+fLaSUPGzP8j11Sv58QFi2feXdP/E9+o5eSmlT9t2bnrdO2xrp/lb/n4g4MNp340vX7epndfe29NvXcHp7j+cohqMmjaW4OKreb69eubN29WHhcWFmZmZqq85/+3d+eBMVx/AMC/b2aP3JFLTokIEnKISIj7iKviqJtSZ1GKVkurVKvV0kNptaotfqi2jojETYj7FhI3IUiIkPvc7DEz7/fHJtuVbCKRY7Px/fy1O/P2zXdnZue78+bNG4ZhQkJCbGxsKhojpTzPU7GEKuRKpZJSqtnS6lmatV9iFhT/inTO0uyOpWdpv1VqXfjXfqv+kWhmCYKg/SlBEMqKqkYD1g6jdFSagNWf0n5bTsCvHJXOWZVajdqzDGK7ax81KhVV7Wz30pVUdLvzPI3ax1w4w3s0V/QfTKVGvK51Ve3bvfR2qc2fT7X83suPSo/bXefe/nr+3stZjS/d7g8fPgwPD1f/8DURlmBjY5Oenq5jBtUl68gcH1NT967j11xRUSqkbBpkZRk448+I8N9nd7S16PrzPZ2f0k0oTL5x4fzpzQtGf3EoW1BPyz++dMyXh9XvFJd/mfhxRIpQiSrnz59fUFBQiQ+8TEZGRkFBgfL3Vcq/1lFKc3JyNLNkMpk65atpzyosLJTL5TpnKRSKwsJCnbPU/920ZwlC0ZfnOC4/P18zKy8vT71RKaWCIOTm5mpmFRQUqP+Nlq6/nIDlcnk5ActksooEnJubqwmY5/m8vDzNrPz8fI7j1K8LCwvT0tI0JcsJuLCwUKFQlBVwWatRqVSWFXA5q7GcgKkhbPfMzEztkiUCLmc1lhVwOavx1ba7IAjalVRwuwv5+bI1P8k/mc1FH6KCUBPbXXs1agcsl8u1d9Sa3u7aq7G6fu91cLtnZmZql9Tj772s7U5r9/deYrtrr5wKbnf1jqopqb3dVSpVmzZtwsPDaSm6z8S3LFubP2r75bX9rAmAkBy5+bDp6F0/TulpBAN88y61/nsHzJ6v84M6ECMn77ZOKjj7+33Nf5SstAyjhg1NCQCAyM7eKut5ugAOtdZhvixSKfaiR6iWCYkPuX83ErlcPHEa44kX3RGqNroTfMx1q9CFvazVjQG5p45cZNuMD5ACALBuAf4Nvr1TxaVSANBuaxCAll24tIyMjIiICIlEAgAtWrTw8fGpYjxFJBLIya6eqhBCFcBfOMvtCiP2jqq3Jhq5NdZ3OAgZjNu3b8fHx0PxNQKFrlvAdCd4hcrEzrQo/xaeP3Ja2XpB5wbq94RhWaGKz11mrG2t5HfSZBTMCfCZaTnWDja6ryzoFh8fv379evW36tWrV1RUVNXiKUIkUgF70SNUOxQKuiecux7HBgSJhoySFxbqOyCEDMnChQvVHc8JIQEBAXfu6Djx1t0n3ss9+eSJBB4AoOBUZFS2Z49uLuqSqtsnTqe5NqtiZCZ+7TwfREc/UYGQcT4qzq5De4fKdM4PCgp6/PhxZmZmZmampmt9NZBKQYFN9AjVOOHhfbJmJdy9JRo1TjTybRDj8PIIVc62bdvUSfD58+cA0KpVq9JldJ/BT3o/5KfpA4akTe0mPbtmU6rPZ0O9WRAKU2/sWTrlp3utPq3q0+SIdY/3Zj5dtXz2ISXbwG/MrFDHSt18JxKJGjRoYGJiUsUwSpJIcKhahGqWSsUd3MOfOUEdnZm332GdXfQdEEIGSSwWm5qagtadkKXpTvBOb288WDB37i8rvnom9hz569oPfVj6fO2bbtOizdrN2vzvB5XvCCNuO2dzW633jHXAuMUB4ypdT00iEhzoBqEaRJIfK/dF0MwMtmsI1yUET9wRqlFl3M9OGgROX3d8uvYkq9CVFxIcvBpbS2tr5NgyxcfHjxs3Tn2Pf/fu3adPn/7Sj1SIRApKJdBKdfhDCFWASsVF7ZOcPg4OTpJZ84ijEyeX6zsmhAzY//73v6NHj0LxPffqhvoSKj5gjcSppY4mfr2Qy+WaL9OsWVU7BPxHKgFKQVWLo+Mi9BoQHiZwO/6lWZl8p+4mfftD2WNQIoQqKCUl5cGDB5q3lehFX8f5+fktWrSo2q/BE4kUALCVHqFqo1IKx6L4U8eIg5PkvQ/zzC0xuyNULRYuXPjll18CAMdxwcHBrq6upcsYZIKvKRIpAIBSCSK8NIhQVQm3b7CRYTQ/X9S3P9slBBgGcnP1HRRCrxFM8FqkEgAAhQITPNKXNWvW6LyWZrAIiM3h+Bk4fkbfkSBUITY2NuPHj9d3FNXDIBO89kh23t7eLVtWz/CW/zXRm5pVS4UIVVZOTo6Xl1d19ixBCFVYQkKCeni4ui8+Pv727dtQPJKdUtc46waZ4LVHsuvZs+fhw4erp96iJnq8Bo/0ycnJqU2bNvqOAqHXkUKhMJQE/8knn+zfvx+KR7K7detW6TIGmeCDgoL+/fdfY2NjAFDf6V891AkeB7NDCCFUt23btk39nFmO49544w1/f//SZQwywdfQSHZEIgHsRY8QQqjOk0gkZmZmUO5IdpUaIra+k2ITPUIIoXoCE7wWhgGRGB8JjxBCqB4wyCb6goKC2NhYIyMjAGjcuLGNjU111UzweTMIIYTqvMzMzOTkZADgeR6KB6wtwSDP4K9du9alS5fAwMDAwMDhw4dXZ9VSKdU14B9CdYeQfe3fLyYPDgnycrI0tbB39w4e8N7KfXfzqvMhCtzFTzzFhBBpt1+ShGqst2w0++LqSV2a2ZtLJRZdfoznyy+cvrG/CUOIyH1OrQSHUJ0zYcIEdRIMDg4GgLi4uNJlDPIMvmXLlvPmzZNKpQDg5eVVnVVLJNhEj+owLiny49Hv/nruuao4nec+upX66NaF/Vv3fBe9d66/CQB39bfJnx/IpNL2czcv6GL8KouhqVcuJ/IArL2vb+We5VwcZyVjoNl75wyevfGpAIQVO3j5uJU/oK3q+qU4BQVi5B/4CsEhVA/88ccf9+7dAwCe5xcuXFiJ58HXcZaWlt27d6/+58GD+oFyeAaP6ihF7LJhY366JAOxXcDgsYODPRrQtNtHtvx1MD5fyDz+9bJ9U7cNtxCeHN+6dfcppcivzdevOiSjIu7iNRUFIvb2936VY0SlY8iN+jsyRQDSYMC6a+ETXcTlP7KST7p8JVUAEHsFtX6F6BCqBxwdHd3c3ACA47iFCxeqH69agkEm+JqDj4RHdVjuvh9+viyjxLTz0hOH57aQqqd+MMW3T7MZRwqpPDOzgIJF4ZUL11UATIOAts1f8ffN34uJzRYARG6t/Kxe5fHQlY1BdeNCTB4FYtRuYH8XMXnZImWxl25xAIxV6zYerxAdQq8Jg7wGX4MkEhzoBtVRqpvnLmULAIyNXxt3qWYy49j/i/UbN27ctP6zXqlft5aYDd2STQGE9I2hZs0/Pq8CANXTk7/NGdq+uWMDUwtHz3YD3v/flayiK+uq8/OaiQgh0h6r78fvXDColXPLD0+kx166ywEQI28v0a4Fw7t4O1nZNA4YtGD3o//+/ZZVJ39jia4YhIzYLV+N6+HfzNnG1NjMztW7+/hv9j1SAXCxi3zFkk4rHvAAVH5oioNxzzVPabkxc7di4mQUiLhVYCtJ7a1/hAwNnsG/SCoFWYG+g0BIN/V1d/7xn6M7JA8bNrBfSMcgv6Z2xi6dRo/rBABQePyYg7+72eWH+QJj2bRta4+evX1FmacWvzn469MZvPrTOfEX98ZfOnIi4djZb4JNhGcxMUk8AOtgHjOzy+ao54LxwLktbl2IU1IAholZ3GtXUtEnY3d/O/Su4tiVHzuZ0MxTX5ZVZ6t0vnQMGdHzeg1aEVtQ3HFA9vjW8b8WnYtVnLnycYbgFNwi5eztDIFInVsFe7YY3Mkuq7yYaWqsuoOAe5sA21dpX0DoNYFn8C/AJnpUd4nbTHqvixUDQFXPYyNXL5wUGuxpb2nt0WHYnN9OPFUBgHG3xRFfdDUCAGLR7/sjxw4u6ZG5efKwJacyqGXbmRtP3HyQEBc5t60ZofJrKxdsSBJAHnvxmgoAhCcH96d1fm/R0m9/nNU1+/KVVB4AhLx0k74/7L5469q+L7rbMEC5+LUrIjL5x+XVKS0VQ0/xxe9n/BxbAGYB0/44cPF2/NWDn7Y3IkCVD+8+VJr1/mbf6hHODACIAz4IOxr97/QGW8qNWXH10jUVBWLqH9gCz1AQKptB/j4uXbrUqFGjErf9EUIWL148a9asKlUtkQDeJofqKEnLDw7E+a5btT78wNELd1NlPAWqynlwLvyn85E7zmy9tHmYA41XXz2X+AT5GwPITnz3xZ5UgZj1XLr95/FuDAA0njOh3S8XoxWKuzfucVz6xcu5FICx6fvLmV1Tm4oAAPLC1t5UAQBjN+TPI3+NcWIAYMHnozec/DWJL7x3987Rc+XWCc4vxgBUbtxh3q+/C6LG3cf2aSYqSI47/zhVRQHEzf1aSAFo9pWYezwAa98m0I0B2bHyY+Zzi6r3DmpdA/1sEaq71q5du2DBAkoppZQU91UhhLi7u9+9e7d0eYNM8Pb29hMnThSJXgieYZjOnTtXtWqpFG+TQ3WY1DXkveUh7y0HLu/J7ZjT0Yf2bt247eJzjk/eueHAz0MnkNiYeB6AdWgd4MKA/PTWnUk8AOQfmdGYnfFCTYyZhTlJj7mUwAOwLiM+Gte06PfE3boUW0ABRN7vLhzhVNTGx1rbWhFIAmIqjt1Wbp0MzX4hBgBi4RvS9fn2sD0bZ6776Natu8m5HAUAYGyD2jVlAZTXLsYpKBCpf5CfCOTHXhJzbmzMXQ6AtQ8IaIQtkOi10r59+2nTpgmCwHEcIYRlWQCglEZHRzs4OJQub5AJ3tXVddGiRTVxmxw20aO6SUg8sOqvizkC69Rj2jud7QiIzF18u4/y7T5yZOPn7tOPKIAYGRsRLuZSnFKTK/mHsXHpAgAxdWsT6G72wuVqIgnu7sXH/hGnokBMg7sFGRUv6fnly4k8AGPdrqN38S1uNPv61Yc8ANPQzyb9arl1irgr2jEAyK//PmbwhxEJhWDsFNC9+5gBPiaxK1YeSqNGbdq3lgDwj2LU97x5BgVYEj7hJTHD9X/iFBSIpJW6eoReHz4+PkuXLgWAwsJClmUlEgkAcBwXHR1taWlZujz+Ql4kkYBKBbrG/ENIj7j4yG8X//lcYOzjWwztNNS6OPHxySdP3OEAiKRNp7YmQmLMlVQeQNw8sLUFAZqXm0cBgHEc/svhH4JL3ZDOX//qSpYAIPFpF6B56rIy7tI1DgCAV6mKx7CTx676cX8eBbbpiLf8lKfLqxOE+y/EwF39YcKciASFUfDnx/Z/3s6KBdnpjwIWCQDiFsFBDQhAgeaet8Cm7EtjFh6uvPKMBxA3D2ptiT3sECoPNnG9SCIFSgmn0nccCL1A5NXKR0oAhOdbJ3UcMPPLFavX/Lr8y/eHtwsct+0JT9hGYz4Z787I4mJuqgCIpKlnYxaAdfNsZkQA+Idblq46eicxIfbw2tndmzo5Orl1+/JCAc2+fPEuB8A6Bga6Fh8JuKIL6CBkRX771d6bD++e2/75oAFL4xTANhq17OMuXuXWCfBiDMLTE0duyCkQowbmfHryw2v7l48d/2s8B8DYBQU3ZQFUNy7GyigQsV9bf+lLY4bCuJgbKgDGsnWbZuWPdofQaw/P4F9ApFIAwOHoUV3DNBr/zad/X158LlvIvbNv9eJ9mjmEsfQe9d0/q/pbE+FR8lM5BQBZ5JSWb6Qc2vv+iK8W/HFs4dm85D1zQ/bMLfqASfNRq1Z/3M5UdfRirIICMQpo56dpi89RX0AnxqbG+WeXDfBZVvQh1j5kWfhvQxwYUm6dUDKGrc2b2TInnwpZB+d1bD4PgJhYWgAAgLiFXwsxgJBy+fJjHkDkHtTGjgCAbbn1c5djYvMpgNg3yB9vgUeofHgG/yKJBACICvvZobrGtN2io9eO/Tl3aCe/pk5WJiZWLl6B3Qa8PX/d2fi4f6a1MgUAxiV02qQQP2dzEVFxTk3cWDBq9cm+U3/Ne7Odp6OFiYWDR0Dfqd/vvHTxn8nexsA/vHQ5TQAQtWzbxrx4KfzDZJm7p1cL3zGr9/w2pae/awNTS2e/vjN+jo7dPy/IggCUW2fpGCz7frd9+ZhgdxtTs4bN2g5ZGB6zc05wCy8vL4/CxDuFUHyfHjELCCq65628+mnGlZgHPADr2iagIR68ECofnsG/SCIFAKLCJnpUBxk16jLlhy5TfiizgKjpmDVHxqzRnsQ0aDX2+4ix35cuzHp+ckH5SckaAhdE31xQ9GZ896k6F1N2nbpiMOk45+9z2g99G3zi5hf/vRu0OVPYXNH6if2UQ/IpOpeLECoJ/wS/AJvokT4pFYD9PxBC1cQgE/y5c+fMzc0JIYSQ0NDQ6qy6qIkeD7KodvE8f+6U8ruvgOP0HQpCyACMHDlSnQTVN8vduHGjdBmDbKJv0qTJ8OHDxWIxAOh8CO6rk0gBAJ8Yi2oTvXGVPbiHy8pk/FpDYoq+w0EIGYCPP/74jTfeAABBENatW9ekSZPSZQwywatHsquZgW4kAICD2aHaQZ8mc3vChQf3oXETydhJxLkRfPutvoNCCBmANm3atG/fHgA4jlu3bp3OhGiQCb4GqTvZ4XVQVNMKZfzxw/y5U8TCkhn2lrKlLzE1ffmnEEKowjDBv4hhQCzG582gGqRU8qeOSU4c4QkR9e3PduzGEwJyub7DQgjVN5jgSyISCeB98Kgm8Dx//jR/5CCVFQit2hj1G8iYW6in6zsyhFA9hAm+FIkUe9GjaiYI9OplNjqKy0xnfP3FffrnSaTEzPzlH0QIoVeFCb4UqRSb6FG14Tg+5jx/IppmZlB3D+lb44mLKwBAbq6+I0MI1XOY4EvCJnpUPRQK9vxp5cWzND9jHMFdAAAgAElEQVSP8fImw8eoHJxIDdz6gRBCOhlkgqeUKhQK9bPuq6tCnucV6hN3kRiUSkXxSTzHcZRSQSh6cKYgCNqztCspMUsdZOlZgiBwHFdiFiFE/fq/MAB4nlcqlepZ6hhKzOKLr92WXrTOgFUvXnoo8akSQWovSzsq7YBfWG/FUTEMo1k5mpIcxxFCygqYEEKLH9FbOuCKR6V5Xc5qLCvgiq/Gl2/3rEw4fxounBUp5NTHHzp3E+wdBUHgVKqKbHdUq5RHZzRf4Bo+61LIlgEP9kywxkfQorp4nFcfDDUl1Uds9WGTK3t0LENN8GrVXicAEImUKOTalZdYluY1pVQ7M5WYVc6nSpfUOaucCsspWU7AOku+NODSQZYfhvbECq7GV/guFV9X5Xyq4t+6xKfK3O7ZWcy5kxB3BSiF1oHywGCpg6OmrtKLLh1V9e7V6OXEQfP3bpQ0aTjieDtLfMA8KlbHj/PaJcs5aBhkgn/y5MnSpUtFIhEABAQEjBgxoooVymQykUhkZGQEACojY5qXq34NAJRSkUikHjUPAJRKpWYWABBCpFJp6VlKpVIQBO23mtfqf1slZqn/lPE8TynVLimVStXnl5RSjuM0swRBkEgk6jVQov5yAlb/MSwrYJ7nKxKwSqXSBKz+K6qZxfO8VCrVtKwoFArtkmUFDAAMw6hHWywdsPYK0Z6lUqm0V4j2rHJWY/kBV3A1gq7tTvNy+aNR5MIZEEvYjl3Zzt2ImbkiN7ey2109BVWJ/Oh7zXuvtV0ce+kzb5a/+U27rrFz74WNslKvWuHJb738do+6eWCKI6F51zctWvjHwUt30o3c/buOWrjsw+6ONX1QVB6d0aTP2nSRiAAAZUwcW/X/5NfV7waYFRcQUnZ9OHL+Eb8Vl359w7gaFshdnN/6U+d9h2e5vnxo8oIzn713bvS6ud7VuhYKtg7z2D8+cVOnqA/npb7/5+TGOgOpTJy6Pn51cfB7pltOzGv2srZddcmY0/PKKsAwTPUe57UPmzzPa3+qgsd5hUIhl8u1S+7Zs+fKlStQnOAzMzN1fJGXrIk6KT09PSIiIiwsLCws7MSJE9VbOZFKAHvRo4qTFXD7IpXffclfvgBdetA580VvDMAe8nokPx2237xdQEpkxB0egPUaMrTJifBD2cWnPs8P7L4aNCTUgdDso/M69/4pf8DyA7dTEs9umOFy8O3gkZsevXDTouzGxqldmrs0bOjs3W9exAP1kYF/FrUo1MfV3tmz63tb7he3p+qYKCT82EFKiohcZx0vOrKwPgsv5BUWFhYWFmZcX9fp5vzpq+/8t1jV5YhtNp+dq57sXin8nTXLng58p2UN/cchVv2meER8vTcbm6mqwenTp9VJcMeOHVCfEnxAQMD169cTEhISEhJWr15dzbVLpDgWPaoQlZKPPiT59Uf+/Gm2Q1fJ/MWkRx8wqvWjMnpB4cmwg47jflnwxvOiDN98yFCPEzuj1FmFpkftuRIwJNSB8LdWf7zB9rOIP6d0dG9gZOrYasiSiD97Xf5syaE8TV38rVXvLHr21t57zxPPrw6+PGvyb/d5oCmbp048Erj2WvK9yFFJH4/58SYPuicC9+j+s55rnxbK5XK5XHZ/ZVdxyWiJkVPXYSGOTx8+Ke6fkrRp8kd7Mk4sCpl7qJBLPvT5wFbuDvaNAkYsP51JAYC7ujio18c/fTJ5RFdv79AlO3d8/c6o0MAm3kPX3FACAM05t3yov4utlXVDz57z96UILy5OR4ValOfW7nQc1qcB0VlSSFrX32PghscCQP6x2d6Bn8fIy1ic7NbGaZ2bO9nZNwv5aPdj5d014z6Lztz3QciiE4LXyJDHa7cnlwirFNntzTO6ebo4ODfrOOmP2Fz1ptO1LJpx5vvhrRvZO3l2nbU9ofjAretr6i5pwJYvX65Ognfv3gWApk2bli5jkE30NUsiJTgWPSofpfyVS/yhvTQ3R2gdZNxvYNEpu172HKWSpj3Xw3Jrk5U1ManYUL6ykzsOu42MbhVyu/d7n0fc+dTbm206ZGjTFTsP54wY0QCyjuy+6D9kjSMjJEYdTOz1/jj3/05yiGXvaaMtRhy4rOrXTZ2J8xOemb41c1xzYwKNuowd4P7H9fs82B7bfa711PXBDUSkwYSZfZctOfhovreNrolNsh8mMu4jbI2kpRJ7MVXW3aiwU3z3ua2KijCu49cvj47+e+Cp5b3S/zfo3XNddl6N9MnbP7vP23O94tb3NwVQxsQwa6K2L3v+W69mM3ZsvLblM6vLCwMn/HN1yrI2ies/WS2ddzpptGNW5PRuX2+a0He+l2ZhQvJf75aq8L+OB9zVfccduiw0Kauk64Tvp20a/MW+N2ZfXXC81/IzgUZCwm+lFyfE/TBuqezjw48GSc9++eb4z6Nubfjr62iP/eOjl3QVA9c5MGXp0awp42zKvhjF3fxpwmdPJhyIf9fj+ZaJvcYtax2zrK34gY6vJota8PZa42UnEodaxX7Tv08871dW8IyukvUeJviSiFRCMcGjciQ9goN7uOTHjFdL8eQZeUbG+m2QF549Va1eoccAaoFoxFi2TduKlJSdCItuOvJzN9bUflif54vUGd5jyNBmP4YfzhkxnBzddc538M+ODPDPU9JtXJyNXvg06+LmmHn4mRJAnW4tB/wUPQAAAOT3tn657nnfb9uK+WeJyWZubuq8KHF1d0h59ITnVTomgltiwiPZ6c+C3O4lc3aBby359ZshHhIAAP7Gsg5WPzIAVFUo45zHhl0cbFcq3wlPI/+52uvjHa0tGLDo98k7P/Q4eIXr3xlA1DwkxF0EjK2ba4PALiF2BMDV3Vl5TUaBcZm49cJU+4YmQk4yz7B5OXn0ZRV2L/7zQbOuXlM2e9OClF2y5awfhnQY12usOGjZya7mAKBjcVzctjBu5OYhbhIRdP1o9c9nxZx2Q4GoeQvXWzG3uHGdy/zTw9+NjMgYtHxySxMC7iM+GvntuPCrS9q21bEs5ZmwvfZTjg1rYsRC+w8/DF29vKyv2Vuho2T9hwm+FImU8BwIAjAGef0C1SC5nDu4h5w/DQ0dxO/MYJp5Aeh/yBqmob34nff0G0NNI+qbEV6u4PiOfY/PRgY5fwXAyzKzPdQZ3n3w0ObLw49k9xXvPuM9ZLkTA0CtbCyzb6VzxbkcAACEjLQsU6sGL6aegvidy+Yu2pY3cNXRJW9YE/45vNgZUqACANU1EUx8Bk/zGjxrbKBl1rmlw4ZO+MX7+EeeAMD6fHr20uJWIgBB9nDnzD5zvjz6xm8hL/7ZACH1WWr2ng+CWxdNJ/Z9BAoAQMTqLqkEAMQSCVEvXY0tiF0zb/muuFSxWxMio90rVGHR7KzMHDNLC1JeSeOgSW9Z/7S67S+91SfgOhbHpz7LsG/vxAIAEJs2bw4AgAKtKKQWZgUZmeW10QtZ6Tn2Lo7qrnKsk6tD1oV0QeeylJkZMmc3F3VJ40Zu9mxZwessWf9hgi9FagSUglwOOCYJ0iLcvsFFbKeyAuj1BnToyhjXmWvtRsZMM099B1E35B8Li/JcfvPobDcGAPJ3j2v2lTrDNx48zPOH8N17jU96Dv7GiQEAtkn3btYrN4SnhI51LP4rLzu/aeuTTp8H/Zfg+Sc7p4d+nNDv+52xgz3N1DnNsZFj/rnHeRSsCXDJSamOHi4Ma6djIhCPgQs+NTOVEADbdhOGea48c4sDzxdO1RkT94HDOs1eEZ9JQ5xePIlnrGysbYd8cWF1DwkAKDOTUgR7Sfnfn6ZsnDr1VKftezd0cBLf/6Hr0Bf6Xb2kQsbK2jL/Xi4tpyTNPPjdRqG94+5vN8zp8q470bU4poG1RcbzNAHsWaC5VyP3FXQY2UorCkVuvom1VXlnT4yVjWVq8jMemrMA/LPkVEsbK6Lzq0ls7cxSHj8VoCkDoEhJTuNtygheckJHyfoPT1JLYhydAEB4kqTvQFCdUVgoitim2vgnsbGTzJlPO3bD1p26Kf9oWJRz3z4uRVvHrEtop0cREXd4AMb1zWFe0Z9/GtV0cH9n9Wxx0AdL+13/eNi8bXHPZLwi896h70eP+9f5s8WD/7s6nLt/0byEifv3fT2oqbHA87wgAIBFj4HBsRs33lEAnxy5/rDrsMFNWJ0TaUbYuJZ9v72QpgSae237nqT2IW10tUuLJWxWeulzWsZtwBC3A6s23i2kXMb5bwd1/+Lsy7qG0cLcfImrn4+jtDDpyLqwa3myQq1qX1IhsfLzFd+/l0fLLJl/6utP44b8tnv9jPwfFoanUp2LEwcMHVD478/7Uzg+O+73j+ZEJIkIAOWVSh4AgLt/53GL1i1EADTrfkzso9zSPepZzzfftNq1cvM9OaiSIlZsUfUf0lqsc1mSDsNDn61dGpmkFPJif/1Z3T1fZ/A6S9Z/eJwqiTg4UamRkPhA34GgOoFmZijXrGQS4kVDR4mnziQ2dvqOCJUpOizKts8bHprWV8vuocEJRRneZdAw39Tnzd4cUJz+gTi8ue58xFv5/3unk7utc+thy+ICfz23d1bL/05qudunziQeneNpLFKTuM48qgTGafwfa4MPj27l2bLPb1ZL1r/XlAWdE0nDt35d0/70ZD9n+0atp1zo+ue6Sbru8GadXBomREXdL/VMQcbj3XXfu29/08u5kf/UK33Wfj/AoqxvzjRoNaBnU5ZxH/Pp8ITZXo29Oozf6TZrfqtTn/8Qw1W0QlGrfl2fnjwvK6Ok4vIPH+3v8M3cNmYtZ343+Pqir44W6FyccftFf82UL+nk5txyZJTfyu+H2xCpZ7DfxQ87fnpCJTw+dalhnxAbAqA8/nnIwOWXdYzCJvL5YOOX9pv6N3dq0uNHZs7mz4KNQPdXM+v5zaaJOV91dHUNej9x2IJxXrYSovtrli5Z9n5Uj1ADNH/+/IKCgmqsMCMjQ7tC2R+rlH/8UvRaJlMqlZpZOTk5mteFhYVyuVznLIVCUVhYqHOWSqXSXlZOTo56xEFKKcdx+fn5mll5eXnqIVAopYIg5ObmamYVFBSoVCqd9ZcTsFwuLydgmUxWkYBzc3M1AfM8n5eXp5mVn5+vHruRUlpYWJiWlqYpWU7AhYWF6gFtdAZc1mpUKpVlBVzOaiwnYKprNQpJjxRfLVB881le/F3tgGtuuy9btuzEiRMUIX3gbn7bb9LO7BpcwO1v+0/cmVm058t2f7HkvLL8T9SyM2fOLFmypNqP89qHTY7jtI9CFTzOy+XytLQ0TUmZTKY5bKpUqjZt2oSHh5f+OngGrwN1cROSHuFTul93t24o//gFzC3E730k2DvoOxqEahzb8r35DrvW3SpzbPOqoVkH/owftGigekxB/v7RZ+1GB5TZmR5VHXay00FwdWNPKGlKctGTPdHrh5w9KRzez7TwEY8eDxKJ3rvKI1QrzDp/s7FzTVVOrPqvWK95xzYNnaJjbBZUjfAMXgfq5AIsKzxM0HcgSB8o5fZGkKh9pH1n8duTQfKSjssIIVQ3YYLXgYrEjHMjIfGhvgNBtY7nVVs386eP0269SL9B2FseIWS4sIleN9K4iXDlkr6jQLWKqJSqTf8I9+6Kho5S+vjrOxyEEKoSPEHRjWnchObn0fQ0fQeCagnNzxP9tU54+EA8cRob1F7f4SCEUFUZ5Bn88+fPN2zYoH5Wt6+vb/v21X84Jm7uQIjw6AF4vxbPJHjN0fQ01frfGLlcMm0W9qxECNV9ly5dunnzJgAIggAAMpmsdBmDTPAPHjzYtGmT+lv1799/z5491b4IYmZObO1oIib4+o8+SVJt+AMkEuW4KVLM7gghQ7BixYqdO3cCACEkICDgwQMdg7MZZBN9+/btNQMF1ER2V2MaewgPcTy7eo7ej1f++QuYmYvf/YDavB6DWyGEDN+WLVvUSVCpVAKAj49P6TIGmeBrB2nsTtNTQVbw0pLIQJG4GH7jH4yru2TGHGJpqe9wEEKoOmGCLxPT2AMoJUmP9B0IqgGcitu5jd0dzvgFiCdOA6lU3wEhhFA1M8hr8LWD2NoRcwua9Ah8Wr28NDIcND1N9c//6LMUIaSvqEdvYF+PR0MjhF4zmODLQ9zc8Qy+nmHu3FLuDSdSI/G77xfaNgRCXv4ZhBAyQNhEXx6mcRNISQaVSt+BoGpAnz7hNq9nw/5mmjSTfDCfcXPXd0Somgn3l3eQiJrNPfffL1Z4vDrEWOQy46jy5R/nri4O7PTDPe2HTAkpuz7o0sJn5oHCisagoxIAoLlx62b2D25ub2ndyC/0o623ddzShFB1wwRfHqZxE+B5+iRJ34GgKqHJj1Wb1ipX/QApyfyAIeK3J4Oxsb6DQjXD2Dh1f+SV4gxPnx3Yc1VkUslmGsXeCbbq/wSqyxHbbD4792vfvP+N7vJpdAZ9pZhk57/sNXCdZPza04kZj0+v6njjo8GfHst7paoQqgRM8OUhTi4gkUB9HZT+NWiZEBLusVs2catX0JRk0ZCRoo8WCv6B2CxfjzE2PXrZHtoVp37gKU09uCepc2/vokuRstubZ3TzdHFwbtZx0h+xuRQAgGac+X5460b2Tp5dZ21PUAAAADE2MbW1s4GkTZM/2pNxYlHI3EOsJdy5nSImAFzyoc8HtnJ3sG8UMGL56cwyK9GgT//9crV0zt8/DPdtaCQydev2yU9zm5zff6lQVzx5/wzzm7ZiyZg3enZuE9h3buQjJYBs3yS3Pn88pQAAhYemNu728yOhVlYmMnR4Db5cLAtOjeDxI33HUd0EgYs+JD16SCGRMg3tib0j2NgSdw9o3ETfkVUTnudjL/Enj9GnT4i1LTtkpKhNO2BZ9eBI9YxCEJIVFWiANmR2ErF5BftCMo36989dtevaV0EBIppxaM/DHoPevh6XCADczZ8mfPZkwoH4dz2eb5nYa9yy1jHL2iqjFry91njZicShVrHf9O8Tz/sBAGNlbWXZwFzkOn798ujovweeWt6XHNguAQAQkv96991zXXZejfTJ2z+7z9tzveLW92d0VaJRcPZIjN+odU008bMt5uy/AMDdXFo6HgA+4Z9w5szhI63YOz+F9pqxqc3eKZ36Br+79VjW1DHWygt7j7oM+NgVz8xQRWCCfwnq4kquXARK681pH83J5rZsEh494AODJZYNaOozIekRvXKRUMp16CLqEwoSw75nTIg5LzpygMvNZTyaiSZMlbm4SUxN6/Fz4WLzC9pfuabvKGrWRq9m4x0aVqws4zagv/nbu24sDmiVG7UnvuvUYOl1AAD+bmRExqDlk1uaEHAf8dHIb8eFX13inxm2137KsWFNjFho/+GHoauXl1+58DTyn6u9Pt7R2oIBi36fvPNDj4NXuN6K8ioRclLT+IYOtiV3QJ3xtG0BVNRx/Dt+JgDgNWly26//PpL1zoRufVvNPXSqYEy/a3uP2A2IdK+3OzOqXpjgX6aRKz19jGakE1s7fYdSHe7eUkVsB4YRT56usHcysbBQT1YWFgonj/Injwo3r4kGjwBHF/2G+WpoXi63Y4tw56bQwsdoYj/i5AIAkJ+v77hqVgsTk8OtvPUdRc3yNjWpeGHGfUCo0Zjdtxc1vr37VufJHaQ3AQBAyErPsXdxVJ9Hs06uDlkX0gVldobM2c1FPdG4kZv9S5oJhNRnqdl7PghubaR+T+z7CFSZWV4ljJmlOc3KzKHQsPgcgaZfPRTD8TriAQBiZO/QQF3SyN7ePC87h5LGIX2afn3oQr7z0cPmof82xfs6UcVggn8J6tyIAAhJj9h6kOCPH4FjUaSZp2jk28TMHHJz/5vFsrRLD2lAEBe+RfW/30U+reiQUcTUVH+xVppw9QoXGQYE2LcmcE09DSv4qrAUsT2tGug7irqE9RgQKpoQeanF3esdxnQ0IuoEz1jZWKYmP+OhOQvAP0tOtbSxIhKRnVnK46cCNGUAFCnJabxNuVUzVjbWtkO+uLC6hwQAlJlJKYK9RHKi3ErM23X2/iAs4vGkaUUt68KTbXNGhg3aEVI6HgCg8uQn6QI4M0BzExNzrTtYM8A49+rd8Pd9W2xOivqt98T8jioIm3pexswcrKyp4d8NLyQ+hGNR0L6zeNJ0YmauswyxayieNls0ZCRz765qxVLhpoE0/KqUosjtqn83Ejd38ZxPCQ5M9Lpjmw8MhR0frYhpN6iLpgc96/nmm1a7Vm6+JwdVUsSKLar+Q1qLJR2Ghz5buzQySSnkxf76897sl3STZ9wGDHE7sGrj3ULKZZz/dlD3L84q4CWVMB4TFw5PXDJmQcStDIWgTL342+zvEwbMGtVtcOl4AACUp39ffiyN59KOfftLXLfhvS0BgG3aqwez9fP1ir4DvPGsDFUUJvgKaOQmGHqC51Rc2L/g4AS9+r2kMwEhbLuOqqmziJOz6q913NbNUFinb9mlsgLVn7+y8bdFw98ST5hKzC30HRHSP9ZrYD9y+X7QwK5a7Tginw82fmm/qX9zpyY9fmTmbP4s2AjArOc3mybmfNXR1TXo/cRhC8Z52UrK/X0wHu+u+959+5tezo38p17ps/b7ARYvrYRYv/Hrqa2Dn/3yVhtna6c2k3a7LN61eoi9WFc8AIxVj+7MD93dXVrNuN77z59Hqhv2Rb59Q6SZ5v0G+mF+RxWGO8vLERdXeuMqqJQglug7llfERR2gmekwbXYFh2WlFpbiSdP5i2e5fZEkIZ6Evgn+bWo6yFdAs7NU63+j+XnK0ROk3r76DgfpGdN07un76pd+X8QpvlC/bPzBiaIbXU1bjv/95PgXP0NsOs0Pj5tf/HYGAAAEfB13AgAApAP+ShkAAABv/O/JG+pJHsNWHhm28uWVvBCZXacPNx79sMRUXfEAiFz6LVv7848lprI2dnbuoQMDxKXqRqgseAZfAY0agyAIBjvcDX2cyJ86ynbvBQ5OlfgYIWy7jpIP5oOtHbNlk2r9b/RZSo3F+CpI6nPVbytAqZS8+z5t5KbvcBCqMZwy89yG7dl9BwdhfkeVgAn+5YiTM4jEhnoZnuNUYf8QewdRjz6v8GlibcNMmi4MGUVTnyt//o6L2A4FdaJTOn2YAP9bA0bG4ukfEHtHfYeDUPUwH7MzaW2fEk2FubunBI4/13nZRx0NtQ0R6Qc20VcAyzLOLkLSI0PsvMqePkbTUiUzPwKWBY57lSoIob7+koAg/tQx7thhcWwM/8YAUXAnPQ4MwJ85QfdFEudGkonvgkklbqBCyBBZDNn0YIi+g0AGCBN8hRDXxkLcZX1HUWlCUqLo3Cm2W0/i3KiqdYnFbI/eTFCwfNcOPjKM3rwmGvYWWFhWR5iVoVJx4Vv52EukbQe+T3/M7gghVBZsoq8QxrUxzculWZn6DqQy5IXclo2CXUNRSN/qqpKYW3CDhovGvUOfpShXfitcvlBdNVdo6dlZyt9W8tfjRMPeIgOH4nPcEUKoHHgGXyHEtTEA0KRH4N5U37FUlCp8K83P5yZNB1E1b2WmpS/j7sFFhvE7trDNYumIMaSmT+UFgb94VnxwD0iNJNPfJy6uwmvwpByEEKqKOnsGzyWGL1x6KOvVns5Y7UgDK2JhKTxO1HcgFcVfOCNcixW9OZza2NZE/cTEVPzWBNFbE5jkx8oVy/grl2piKWpC/G3lT99xkWGCe1Px7HnExbXmloUQQvVGHT2DVz3cveNMDvcq/b5rCnFtbDAd6Z+ncHt2sgFt2TZtXxiPtroRX3+Vg5P08H5u22bhWiy8MRCMjKqnakGgWZnw7Ck5d1p17w7j6iaa/oHCyoaYmlVP/QghVN/VyQSvTNi1W95zYLP9ipeXrTWMa2Muat8rdkSvTUqlsG0zaWAlGjy8NhZnaiYeO0m4eoXbFcauWSkEtScezRl3Dx0lOY4W5ENuDs3PY9LSeAKgUFCFnMgKqEqlohQAgOfF+XnK/HyanQk8DwBg2UA8ehzTqg0QUqN/VhBCqJ6pOwmeTzr+98F4vknP0Y0v71H1ebdFzp91KsET18bAceT5M7C21ncs5SGH9kBmpnjmh7X51FemVYDYo5liTwS9fEF18igwDHFyNrKx4wAgN4cW5DO5uby8kC8uLwbgGAakRsTYGCQSYFiQSEAsBgAQSxivFsTaltjYqswtqbUNg13lEUKo8morwfOPdyzcaPHpZ70t1TdPC1mxW35ZH30vX+oSPHr25C6OYta12/ip3QBoTswF4cmeX37KvHdPtemw16zebnWiszTj0ghYlklOghYt9R1LmejjRHLlEuk7gDg61/KiiZk5P3CoWCpl0lKFhHju3l32cSJYWIKZOePgJEiNmAZWrKUlmJoRC8t8gZrbFD1xSy6XMwwjlhQN4VGYm2tc/BBbUCiA1pFuGAghZGBqPsHT/Pio7buPnT1/32WqZlrWsdU/xzWd/8tC98yo77/4MbLx98OLnqQIxDJw9IeBAKoLq5Znv92rOLvHxMT8/PPP6tcpKSkdO3YsZ5kikejHH3/08/OrYIyCIMjlcqVSqX7L83x2drZmFiGEEAIAUjt7+jixxKzCwsLSn6KUUkrlcnlZs7SXlZOToz1LVdw/XBAETuuKQImoFAoFKR5qpmgWpUYR26i1jdzHX1ZcssSiAaCcgBUKRaUCVkeiHZVSqSTGJuDjL7T0EwRBVNyBX3s1AgAPJdewTCZ7hdVYTsBlrUYdAZdYjToDLjWrhrY7xT80COmV+sdY07937frLP87fvXt31qxZ6uOD5ohEKSVaQ42xLJuYqKMPeC2cwYvMXHw6D5Bkrb6vmSS7dvFOkz6zPE1ZYhoSGhC27UrqMFeHFwdGE7eb/anWW2NjY2fnorPSjIwMNzc3hinzFgCxWGxlZcVW+D5pnucZhtGUFwRB+7OEkKJlubiK7t2hOme9+ClBECilOiuklJYoqT2L53nttwzDaG9R7ai0Z6krYa7FkuQnypFvM2JxWVGpP1iVgLWLqcTDxC0AABKLSURBVPfUErO0o9IOsnTAVVmN5Qdc1mp8acAVierVAq74duc4TnM0QQjVJpVKpf5nX72/9xKHnUod5y0tLT08PBQKhfYRVX0moHn9+PFjY2Pj0l+n5hM8MXLybuukgrO/axK8kJWWYdSwoan6MYh29lZZz9MFcCg3HXt7e3/77bfq159++umiRYtMqu/SbGZmpkQi0VSYm5trbl70xPTCwkKRSCQWiwGAb9qMizlvRgX1bd9yuZwQIpVKS39KqVQKgmBU3KVcexbHcUqlUntZZmZm6u3E87xcLjc1LXrCZX5+vomJiXrHopTm5+drKpHJZBKJRHN+nJubay6VKI8fJi19xS18NAGXWLT6fLesgHme1+wi5QScl5enCVgQBJlMZmZW1LO9oKDAyMhIvXfK5XJ1wOqSOgIurl/dRC8pbqIvETClVOdqVKlUHMfpDLic1VhOwOVs99IB19x2Z1n25MmTJ0+eBISQPqiPVNX7e9c+bPI8X1hYqDkKvfQ436JFi61btyoUiry8PGtra3XJwsJClmXVh02O44KDgxs2bFj6u+ink91//z3UBDCIdkmmmRcwjHD9Ktuxi75jKYmLjqKyAnH/wXW+lz8qz8iRI5OTkyUSiea/uUKh0BxBZDIZy7KaY41cLtfMUp95aP5Cac9SNwDqnMXzvCAImv8x2rPULYeaP15yuVwqlWqiUiqVmjAUCoW4uNGoRMBKpVIkEmnOfioeMKVUZ1TlB6xSqbSjKms1agfMcZz635W6pEql0m7Mq3rA5azGigf8yqtRX9v9lXfUWtvupaPSbHfrut2NulL0kuAZa1sr+Z00GQVzAnxmWo61g01lHlzy4MGD2bNnqzdGx44dx40bV1ORvoiYmQtu7sLVy3UtwZPsLP70MbZzd2JjC9i6a8jc3NxsbGzK+keflZUlkUg0jRO5ubkWxR0Stf/Rl5hVuuVGM6t0Q4hm1qu13FBK8/LyNJWUbrnRzCrdcqMdcImWm4oEXH7LTUFBgWY1agesPjGysbFRf7XSLTfaAZc4k9PMKn0mV5HVWJUWuzq+3bOyssRisaZkHdzupVdjie0Odd62bdtOnz4Nxc316enppcvo5wzexK+d51/R0U86v+mcez4qzq7Dlw6VGVIvPz8/ISFB/drU1LTWEjwA8C19mf27aFYmsapD//JEh/cTI2NRt176DgQhhFBtuH79+uXL/z0CTeefEv0keGLd472ZT1ctn31IyTbwGzMr1LFSQ+b6+flV7zX4iqNe3nBwj3DtCtu1Z+0vXSchIZ6Jv82OGFtto8ghhBCq277++mvta/BNmjQpXaa2Ery47ZzNbbXeM9YB4xYH1N6Zd3WhRsaMZ0s+7nLdSfB81H6hoQMbEKTvQBBCCNUhdfZhM3UX2yqAPk2mz5/pOxAAACEhXnj0QOjcHUhlejEghBCq7wwywV+5csXX19fDw8PDw2PKlCm1vHTG2xckUv5abC0vVyf+yEFi78h71t3B9RBCCFW7999/X50EPT09ASA+Pr50mbozFn0l2Nra+vr6qvuUtmvXrrYXL5YwLbyF2Bjo3L22F/0i4cE94cF98ZiJePqOEEKvld69e1taWgIApTQ6OroO3QdfRa6urvrqZKfG+rdRXb1CUpLByUVfMYD69L2hPePrD3l5egwDIYRQLQsNDR08eDAAcBwXHR3doEGD0mUMsole7xjPlmBiQq/H6TEGmvRISLgnCumLp+8IIYRKwwT/SliWbelHblzV47POaPRBYmvH+LXWVwAIIYTqMoNsotceya5r165vvfVW7cfA+AfwMefhcSI086z9pcPjRHo/XjRqHJT9xB2EEEL11Y4dO06cOAHFI9llZmaWLmOQCT47OzsmJkb9WiKR6CfBezQHUzOIu6yHBE8pczQKbOzYVgG1vWiEEEJ1wKVLl44cOaJ+bWVllZWVVbqMQSb4gICAiIgIPXayAwBgGBoUTE4do917EVu72lwyfzSKJD5gxkzE03eEEHo9fffddytXroTikew8PDxKl8EMUQWduoGZObcvsjaXKcTf4Y4cEDp1Iy18anO5CCGEDAsm+CoQSyCkr3DruhB/p3YWSNPTVP9uYDyaUXyuDEIIoXJhgq+aVgHExZXbuxMEoaYXRVRK1eZ1xMhYNHoCNs4jhBAqn0Feg3/+/PmGDRvUz+5t2bJlp06d9BYKIaKBQ1VrfuIvnYMWvjW4IErZPTtpRrpk+gfE1BRkshpcFkIIobrt/Pnzd+7cAQBBEACgoKCgdBmDTPAPHjzYtGmT+lsNGjRInwkegHFzZ3z9+aj9pEkzAIuaWAR9mswd3MPcvSV+awJxblQTi0AIIWRAfv3117CwMAAghAQEBDx69Kh0GYNs6W3fvn1eXh6llFIaGVmrfdx0EvUbROVy9syJaq+Zpqeq/t2oXPU9TX3GDR7J4H1xCCGEAP7++291ElQqlQDg7e1duoxBnsHXNcTKmu3cDU4d4x0c2aD2wLJVrVGpFO7fFcXGcDeuElMz0cChTNsOisLC6ggWIYTQawETfPUQ9eitTHkKkWH88SNsSB/w8X9hiHiepzk5kJ9L83Jpbg4pLBRs7MDMjJiZEYFSAqBQgEJO8/OZZ09VCfFCwn3gVKSBFdurn6hTN5BIqP7GxEUIIWSIMMFXE4mUGzraOD+Pi9rHhW+Fo1GkuZcqP49mZ0NOtjQ/T6mVoRkAleZzWq8BgGEYaOQm6tmX8fIuMLcQm5hgh3mEEEKvABN8dSJOzuIJU+mTJGXUfoi/A5YNmIb20MxTITUybmgPZubE3II3NlZyvDEVID+f5uXI0tKMzc2JsTEYGQsisdLISGptU1Rdfr5evw1CCCEDZpAJvqCgIDY21sjISHsiwzAtWrQoMVEviIsrGTtJEARxcTCy3FzGoriDPccBVRITc7CwJOAsOOYy5uaEEACgPE/lcn2FjRBCqC5TKpW3b98WBEGhUDAMo75XnOd5KH7kTAkGmeCvXbu2evVqodTYMgsWLPjmm2/0EhJCCCFUo77//vsvvviixET1bXJxcXFDhw4tMcsgE3zLli3nzZsnlUpLTA8KCtJLPAghhFBNmz17dseOHSmlCoWCZVmRSAQAPM8vXLjQz8+vdHmDTPCWlpbdu3fX89PkEEIIoVpkYWEREhICAIWFhSzLSiQSAOA4buHChayu27OxhzZCCCFUD2GCRwghhOohTPAIIYRQPYQJHiGEEKqHMMEjhBBC9ZBB9qLPyck5duyY+jY5Dw8Pd3d3fUeEEEII1Z6kpCT1I2LVA91wHFe6jEEm+Fu3bv3xxx/qgW66d+9+9OhRfUeEEEII1Z6ZM2ceOnQIige6uX79+ogRI0qUMcgE37p1699++009Kq2dnZ2+w0EIIYRq1b///pudnQ0APM+PHj3a39+/dBmDTPBGRkaNGzfGgW4QQgi9nszMzKytraG4cZ5oP6C8GHayQwghhOohTPAIIYRQPYQJHiGEEKqHMMEjhBBC9RAmeIQQQqgeMshe9AAwatQonZ0GX432s3UBgFKqqZxSClodFGt0VumSrzarLkTF8zzHcRKJRD0FV2O1BKxUKlmW1TwXso5EZXCrUfu1IAgqlUo9albdiapSs+pgwEqlkmGY2jmi1uPVWMEjaokwtBlkgu/atauTk1M1Vrh9+/amTZsGBARUY52vuXv37p09e3bs2LE6n1KMXk14eLibm1tgYKC+A6k/Hjx4cOrUqVGjRmlyPKq6yMhIR0fHdu3a6TuQ+iMxMfH48eMjRowwNjYuPZdl2U6dOpWebpAJvm/fvn379q3GCvft2xcUFDRjxoxqrPM1t2vXrrNnz06fPh2Pm9Xo8OHDrVu3njVrlr4DqT8OHDhw6tSpqVOnWlhY6DuW+uPkyZN+fn64o1ajo0ePHj9+fNKkSba2thX/FF6DRwghhOohdvHixfqOQf8kEomfn5+jo6O+A6k/WJZ1cnLy9/dnGPwTWW0kEomvr6+zs7O+A6k/WJZ1cHBo3bo1XkuqRhKJxMfHx8XFRd+B1B8Mw9jb2/v7+4vF4op/iqivzyOEEEKoPsGzK4QQQqgewgSPEEII1UMG2Yu++ghZsVt+WR99L1/qEjx69uQujpW4uoG0KRKj1/0eFvOkgFo07Tp22rj2DizQZ5GfzPjfHQ4AABjb0CVrp/nidc5K0L0Ccad9ZUJy+MczN8Xzmgki32l/fh1q8xx31FfEP96xcKPFp5/1tlTfhK1z58Q9tpJKrtUqHF3pa0zIPLJk/Nx/budz8qT9X038aHsir++QDBSfFPbRxCX7nygERdq1LQsmLNj9lKdUFffbO18eylQolUqlUqXiBH2HaWh0rUDcaatC4DmVUk2RenLF/F8uZAu4o74SIe/uwfU/fDJ56NAvDmUXrTGdOyfusZWga61W5ej6WjfRy65dvNOkT6inKSttFBIakBlzJRV7HL4SeUqWUZfQHs4SIrH16dbWPvlRigC04HkqsXe0kIjFYrFYJGKrbeTB14TOFYg7bVUQhhWp12buuY0HLcdMamtJcEd9NSIzF5/OA7p5Sv6bpHPnxD22MnSs1aocXV/nJnohKy3DqGFDUwIAILKzt8p6ni6AA7bNVZ5J2ylftwUAAOXTk1ujsgPGN2NBSH2Wqri1+cPJKRm8RdOuY999u73D67y/VZquFcjgTlsNqCx22x5R6OfeJgC61zPuqC9DjJy82zqp4Ozv94sn6TyiChzusRWnY61W6ej6Wu/HJQfwFQD/WVaBPPncjg1/nypsN/XrMW3MCfBS1+C+Lu37d2tqmn8n7NtlP+11Xfqm82vdZlRJOlbgQNxpq054sn9rYvCsdy2KViPuqNVE586Je2x1eMWj6+uc4BlrWyv5nTQZBXMCfGZajrWDDTbOvRoh/dyarzakBE5c8HOws5F6LRKHdsOHGxmJCICFZ0hHl123knjA42bF6VqBjB/utFWlvHXwuHG3xS7FuyLuqNVE5xGVscQ9toqqcHR9rfdiE792ng+io5+oQMg4HxVn16G9w2u9Pl6dLOafDSk9v/h8bDtHCRUEgVIAmndm5XtfhMfncEBlD09fTPNq1fR1/j9ZabpXIO60VaW8cey8VbsgTZbBHbXa6Nw5cY+toqocXV/rHZlY93hv5tNVy2cfUrIN/MbMCnXEHe+V8E9u3U69Fj192Dr1e2LzxpK10/26Tpv+ZPWq2ZE5jImdV6/3ZvWyw3/ulUAsda5A3Gmrhrt76bpZi/5Wmn2xjPWMKk/3ERX32Cqp0tEVh6pFCCGE6iH8L4UQQgjVQ5jgEUIIoXoIEzxCCCFUD2GCRwghhOohTPAIIYRQPYQJHiGEEKqHMMEjhBBC9RAmeISQbsKDlZ2MGNZ2TESu1tSCrUPNvOZf5PQWFkKoYjDBI4R04hPCt8eIzU2zD4YdztExX0j6pZtZxx8ThFqPDCFUEZjgEUK68PfCw2Kthn45JzD/4PZD2VUc8VKZlvAoC/8KIFSbMMEjhHTgb+/YftUqdOSkEQN8CqLCDpbI8ML9Hzo0nX2i4Ozcpib9NmRQoNlX1s7o7d/Y2tzKtc2bC8LvyQEAFBFvWbf9Mvynfm4uPrP35upcEkKoZmCCRwiVxt3YEXbTJnRoVwvP/v09Cw6HHch8IcMzTeedvb+qq2mH5fdl+yfaCA/WDO/5+Z02czdGnz64eqxJ5ISe03elUwAA/t6ahZHNl+w5tWqQhX6+C0KvKUzwCKFSuGthO+7YhA7ragIi7wH9PQqObD+QUXYrvfL0yu8udli6ZenYbq1btRsw53+/Txbt+HNPOgUAQdbknXUr3ukd2NgCDzcI1Sb8xSGESlLFhoXHmwYHOackJCQkmvm2tS84un1/elkZnmbFxz/POzDFRSJWMw/55aEiJTlVAADGysfPFQ80CNW+1/p58AghXVQx28PvqbLuTPOL0EwjOdv3pr490V7nU6elRkaiRjOj7v/cRfziHEU8gLGJMT5fHSE9wD/WCKEXKS9s3/nI5u1dObSY8uJ8T/nxsL3PyziHN/Nr7ZF6Ivqmquh93vFvRk3+8yZfayEjhErDBI8QeoHi7PaIxw5Dx/f6r0+cuPXoUd7KE2F7UrQzPCGEZj5OSM4uZH3Hz+z25OeJM9cdi4s7tX3ZxCnf3bDz8WBrP3iEkAYmeISQNvnp7ZEp7qPGdTbWmijyHjmqNXdy++6n/93Lzth3erMX88+QVu/szCLu74Qd/6njw1XjunUaODeMH/n37q86GNV+8Aih/xBKqziABUIIIYTqHDyDRwghhOohTPAIIYRQPYQJHiGEEKqHMMEjhBBC9RAmeIQQQqgewgSPEEII1UP/Bwe3lx0/h4pBAAAAAElFTkSuQmCC" /><!-- --></p>
+<div class="sourceCode" id="cb15"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb15-1"><a href="#cb15-1"></a>b =<span class="st"> </span>AVOe2005R.female </span>
+<span id="cb15-2"><a href="#cb15-2"></a>b<span class="op">@</span>name =<span class="st"> "Modified Copy"</span></span>
+<span id="cb15-3"><a href="#cb15-3"></a><span class="co"># only b is modified, not the original table</span></span>
+<span id="cb15-4"><a href="#cb15-4"></a>b<span class="op">@</span>modification =<span class="st"> </span><span class="cf">function</span>(qx) <span class="kw">pmax</span>(qx, <span class="fl">0.01</span>) </span>
+<span id="cb15-5"><a href="#cb15-5"></a><span class="kw">plot</span>(AVOe2005R.female, b, <span class="dt">YOB =</span> <span class="dv">2000</span>)</span></code></pre></div>
+<p><img src="data:image/png;base64,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" /><!-- --></p>
</div>
<div id="adding-a-security-loading-to-the-raw-probabilities" class="section level3">
<h3>Adding a security loading to the raw probabilities</h3>
<p>When calculating premiums for life insurance contracts, one often needs to add a certain security loading on the raw death probabilities (e.g. 10% increased death probabilities) to account for statistical fluctuations. This can be easily done with the <code>setLoading</code> function that returns a copy of the given table and adds the given security loading.</p>
-<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r">AVOe2005R.female.sec =<span class="st"> </span><span class="kw">setLoading</span>(AVOe2005R.female, <span class="dt">loading =</span> <span class="fl">0.1</span>);
-<span class="co"># Make sure the modified table has a new name, otherwise plots might break</span>
-AVOe2005R.female.sec<span class="op">@</span>name =<span class="st"> "Table with 10% loading"</span>
-<span class="kw">plot</span>(AVOe2005R.female, AVOe2005R.female.sec, <span class="dt">title =</span> <span class="st">"Original and modified table"</span>)</code></pre></div>
-<p><img 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" /><!-- --></p>
+<div class="sourceCode" id="cb16"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb16-1"><a href="#cb16-1"></a>AVOe2005R.female.sec =<span class="st"> </span><span class="kw">setLoading</span>(AVOe2005R.female, <span class="dt">loading =</span> <span class="fl">0.1</span>);</span>
+<span id="cb16-2"><a href="#cb16-2"></a><span class="co"># Make sure the modified table has a new name, otherwise plots might break</span></span>
+<span id="cb16-3"><a href="#cb16-3"></a>AVOe2005R.female.sec<span class="op">@</span>name =<span class="st"> "Table with 10% loading"</span></span>
+<span id="cb16-4"><a href="#cb16-4"></a><span class="kw">plot</span>(AVOe2005R.female, AVOe2005R.female.sec, <span class="dt">title =</span> <span class="st">"Original and modified table"</span>)</span></code></pre></div>
+<p><img src="data:image/png;base64,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" /><!-- --></p>
</div>
<div id="adding-a-modification-to-the-raw-probabilities" class="section level3">
<h3>Adding a modification to the raw probabilities</h3>
<p>Some uses require post-processing of the death probabilities, like adding a lower bound for the death probabilities. To achive this, all <code>mortalityTable</code>-derived classes have a slot <code>modification</code> that takes a function that is passed the vector of death probabilities.</p>
-<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r">AVOe2005R.female.mod =<span class="st"> </span><span class="kw">setModification</span>(AVOe2005R.female, <span class="dt">modification =</span> <span class="cf">function</span>(qx) <span class="kw">pmax</span>(<span class="fl">0.03</span>, qx));
-<span class="co"># Make sure the modified table has a new name, otherwise plots might break</span>
-AVOe2005R.female.mod<span class="op">@</span>name =<span class="st"> "Modified table (lower bound of 3%)"</span>
-<span class="kw">plot</span>(AVOe2005R.female, AVOe2005R.female.mod, <span class="dt">title =</span> <span class="st">"Original and modified table"</span>)</code></pre></div>
-<p><img 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" /><!-- --></p>
+<div class="sourceCode" id="cb17"><pre class="sourceCode r"><code class="sourceCode r"><span id="cb17-1"><a href="#cb17-1"></a>AVOe2005R.female.mod =<span class="st"> </span><span class="kw">setModification</span>(AVOe2005R.female, <span class="dt">modification =</span> <span class="cf">function</span>(qx) <span class="kw">pmax</span>(<span class="fl">0.03</span>, qx));</span>
+<span id="cb17-2"><a href="#cb17-2"></a><span class="co"># Make sure the modified table has a new name, otherwise plots might break</span></span>
+<span id="cb17-3"><a href="#cb17-3"></a>AVOe2005R.female.mod<span class="op">@</span>name =<span class="st"> "Modified table (lower bound of 3%)"</span></span>
+<span id="cb17-4"><a href="#cb17-4"></a><span class="kw">plot</span>(AVOe2005R.female, AVOe2005R.female.mod, <span class="dt">title =</span> <span class="st">"Original and modified table"</span>)</span></code></pre></div>
+<p><img src="data:image/png;base64,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" /><!-- --></p>
</div>
</div>
+<div id="creating-mortality-tables-from-data-and-modifying-them-using-various-helper-functions" class="section level2">
+<h2>Creating mortality tables from data and modifying them using various helper functions</h2>
+<p>The package not only provides the data structures and some examples of mortality tables, it also provides several functions to modify existing tables. In particular, the functions available provide</p>
+</div>
<div id="pension-tables" class="section level2">
<h2>Pension Tables</h2>
<p>Pension tables generalize mortality tables in that the state space is increased from two states (alive / dead) to four states (active / invalidity or realy retirement / old age retirement / dead). As a consequence, there is no longer just one transition probability, but multiple.</p>
-<p>Possible states are: * active: healty, no pension, typically paying some kin of premium * incapacity: disablity pension (in most cases permanent), not working, early pension * retirement: old age pension, usually starting with a fixed age * dead * Widow/widower pension (if a widow exists at the time of death)</p>
-<p>Correspondingly, the <code>pensionTable</code> class offers the following slots describing transition probabilities for the corresponding state transitions (by a <code>mortalityTable</code>-derived object): * <code>qxaa</code>: death probability of actives (active -> dead) * <code>ix</code>: invalidity probability (active -> incapacity) * <code>qix</code>: death probability of invalid (invalid -> dead) * <code>rx</code>: reactivation probability (incapacity -> active) * <code>apx</code>: retirement probability (active -> retirement), typically 1 for a fixed age * <code>apx</code>: retirement probability of invalids (invalid -> retirement), typically 0 or 1 for a fixed age * <code>qpx</code>: death probability of retired (retired -> dead) * <code>hx</code>: probability of a widow at moment of death (dead -> widow), y(x) age differene * <code>qxw</code>: death probability of widows/widowers * <code>qgx</code>: death probability of total group (irrespective of state)</p>
+<p>Possible states are:</p>
+<ul>
+<li>active: healty, no pension, typically paying some kind of premium</li>
+<li>incapacity: disablity pension (in most cases permanent), not working, early pension</li>
+<li>retirement: old age pension, usually starting with a fixed age</li>
+<li>dead
+<ul>
+<li>Widow/widower pension (if a widow exists at the time of death)</li>
+</ul></li>
+</ul>
+<p>Correspondingly, the <code>pensionTable</code> class offers the following slots describing transition probabilities for the corresponding state transitions (by a <code>mortalityTable</code>-derived object):</p>
+<ul>
+<li><code>qxaa</code>: death probability of actives (active -> dead)</li>
+<li><code>ix</code>: invalidity probability (active -> incapacity)</li>
+<li><code>qix</code>: death probability of invalid (invalid -> dead)</li>
+<li><code>rx</code>: reactivation probability (incapacity -> active)</li>
+<li><code>apx</code>: retirement probability (active -> retirement), typically 1 for a fixed age</li>
+<li><code>apx</code>: retirement probability of invalids (invalid -> retirement), typically 0 or 1 for a fixed age</li>
+<li><code>qpx</code>: death probability of retired (retired -> dead)</li>
+<li><code>hx</code>: probability of a widow at moment of death (dead -> widow), y(x) age differene</li>
+<li><code>qxw</code>: death probability of widows/widowers</li>
+<li><code>qgx</code>: death probability of total group (irrespective of state)</li>
+</ul>
<p>All functions that handle <code>mortalityTable</code> object can be used with these slots.</p>
-<p>Additionally, the following functions are provided to obtain the set of all transition probabilities in one data frame: * <code>transitionProbabilities(pension_table, YOB)</code> * <code>periodTransitionProbabilities(pension_table, Period)</code></p>
+<p>Additionally, the following functions are provided to obtain the set of all transition probabilities in one data frame:</p>
+<ul>
+<li><code>transitionProbabilities(pension_table, YOB)</code></li>
+<li><code>periodTransitionProbabilities(pension_table, Period)</code></li>
+</ul>
</div>
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+
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