BALD (version 1.0.0-3)

finalCumulativeDiff: A generic function to plot and/or return the difference between final actual and predicted cumulative payments.

Description

A generic function to plot and/or return the difference between final actual and predicted cumulative payments. See vignette('BALD').

Arguments

object

The object from which to plot and/or return the difference.

plot

A logical value. If TRUE, the plot is generated and the statistics are returned; otherwise only the statistics are returned.

expYearRange

Either a range of years (for example c(1995, 2006)) or one of the keywords “all” or “fullyObs”.

Value

Mainly called for the side effect of plotting.

See Also

finalCumulativeDiff("AnnualAggLossDevModelOutput")

Examples

# NOT RUN {
rm(list=ls())
library(BALD)
options(device.ask.default=FALSE)
data(IncrementalGeneralLiablityTriangle)
IncrementalGeneralLiablityTriangle <- as.matrix(IncrementalGeneralLiablityTriangle)
print(IncrementalGeneralLiablityTriangle)
data(PCE)
PCE <- as.matrix(PCE)[,1]
PCE.rate <- PCE[-1] / PCE[-length(PCE)] - 1
PCE.rate.length <- length(PCE.rate)
PCE.years <- as.integer(names(PCE.rate))
years.available <- PCE.years <= max(as.integer(
dimnames(IncrementalGeneralLiablityTriangle)[[1]]))
PCE.rate <- PCE.rate[years.available]
PCE.rate.length <- length(PCE.rate)
standard.model.input <- makeStandardAnnualInput(
incremental.payments = IncrementalGeneralLiablityTriangle,
stoch.inflation.weight = 1,
non.stoch.inflation.weight = 0,
stoch.inflation.rate = PCE.rate,
exp.year.type = 'ay',
extra.dev.years=5,
use.skew.t=TRUE)
# }
# NOT RUN {
standard.model.output <- runLossDevModel(
standard.model.input,
burnIn=30.0E+3,
sampleSize=30.0E+3,
thin=10)
finalCumulativeDiff(standard.model.output)
# }