transitionProbabilities: Return all transition probabilities of the pension table...

In kainhofer/r-mortality-tables: A Framework for Various Types of Mortality / Life Tables

Description

Return all transition probabilities of the pension table (generational probabilities)

Usage

transitionProbabilities(object, ...)

## S4 method for signature 'pensionTable'
transitionProbabilities(
  object,
  YOB = 1982,
  ...,
  ages = NULL,
  OverallMortality = FALSE,
  Period = NULL,
  retirement = NULL,
  invalids.retire = [e-mail],
  as.data.frame = TRUE
)

Arguments

object	A pension table object (instance of a pensionTable class)
...	Currently unused
YOB	Year of birth
ages	Desired age range (if NULL, the probabilities of the age range provided by the table will be returned), missing ages will be filled with NA
OverallMortality	Whether the overall mortality should be returned for actives, or the active mortality
Period	Observation year to calculate period transition probabilities. If given, this arguments overrides the YOB parameter and this function returns period transition probabilities. If this argument is not given or is null, then this function returns generational transition probabilities.
retirement	Override the retirement transition probabilities of the pension table. Possible values are: Single age (describing a deterministric retirement at the given age) mortalityTable object: transition probabilities for retirement
invalids.retire	Override the pensionTable's invalids.retire flag, which indicates whether invalids retire like actives (i.e. same death probabilities after retirement) or stay invalid until death.
as.data.frame	Whether the return value should be a data.frame or an array containing transition matrices

Methods (by class)

• pensionTable: Return all transition probabilities of the pension table for the generation YOB

Examples

pensionTables.load("USA_PensionPlans")
transitionProbabilities(RP2014.male, YOB = 1962)
transitionProbabilities(RP2014.male, Period = 1955)
transitionProbabilities(RP2014.male, Period = 2025)

kainhofer/r-mortality-tables documentation built on Dec. 17, 2020, 3:53 a.m.