BALD (version 1.0.0-3)

consumptionPathTracePlot: A generic function to generate the trace plots for select consumption path values.

Description

A generic function to generate the trace plots for select consumption path values. See vignette('BALD').

Arguments

object

The object from which to generate the trace plots.

elements

A numeric vector indicating the elements for which to plot the trace. Valid values are 1 through the number of development years (columns) in the observed triangle. If NULL, values are selected automatically.

…

Additional arguments used by methods.

Value

NULL invisibly. Only called for the side effect of plotting.

See Also

consumptionTracePlot("StandardAnnualAggLossDevModelOutput") consumptionPath

Examples

# NOT RUN {
rm(list=ls())
options(device.ask.default=FALSE)
library(BALD)
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)
consumptionPathTracePlot(standard.model.output)
# }