GitLab

Add "log" argument to whittaker.mortalityTable that controls whether the log-values or the values itself are smoothed (e.g. qx are log-smoothed, hx are smoothed directly)

Add "ages" and "legend.justification" arguments to plotMortalityTrend; Allow list of tables to be passed to makeMortalitytTrendDataFrame (and plotMortalityTrend)

Rename haveAges -> givenAges, needAges -> neededAges in fillAges; Fix ifelse problem (vectorized, so we need to use if instead to return a vector); add missing age parameter to transitionProbabilities

All probs will be intersected with the desired ages, missing values will be filled with NA

plotMortalityTAbleComparisons: Add ages, legend.justification arguments; disable x-axis breaks (i.e. let R choose the proper labels)

pensionTable: Commutation numbers need to take retirement probabilities for actives into account; remove "g" state for total portfolio and replace by OverallMortality argument

Fix error: use subset function rather than filter from dplyr (which is not a dependency); Style fixes

plotMortalityTables: Re-format (style); ignore qx==0; add legend.justification as argument; Remove pathetic attempt at being smarter than R for x-axis breaks

commutationNumbers: Fix missing qx assignment; pension tables need to add qx and ix probabilities for actives

properly use colour and shape in ggplot so that one can later on add different mortality tables / QxDataFrame without messing up the aesthetics

Add commutationNumbers function to calculate commutation numbers lx, dx, Dx, Nx, Sx, Cx, Mx, Rx  for a given mortality table or vector of death probabilities

- Remove apix (pension transition of invalids) and replace it by a invalids.retire flag in the class (default FALSE)
- Allow the Period argument to transitionProbabilities (=> calls periodTransitionProbabilities)
- Allow overriding invalids.retire in the call to transitionProbabilities
- Add a retirement argument (number or mortalityTable) to transitionProbabilities to override the retirement age given in the pension table

- fix RP2014 improvement factors (young ages are included in improvments, but not in base probabilities)

- Add function calculateImprovements to obtain the cumulated improvements for each age (for given period or birth year)
- Implement American RP 2014 (death probabilities only, no disability)