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

In BALD: Robust Loss Development Using MCMC

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

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)

## End(Not run)

BALD documentation built on May 2, 2019, 6:51 a.m.