scaleParameter {BALD} R Documentation

## A generic function to plot and/or return the posterior of the scale parameter for the Student-t measurement equation for models in BALD.

### Description

A generic function to plot and/or return the posterior of the scale parameter for the Student-t measurement equation for models in BALD.

### Arguments

 `object` The object from which to plot and/or return the scale parameter. `column` The scale parameter is allowed to vary with development time. Setting `column` results in the plotting and returning of the scale parameter corresponding to that column. Default value is `1`. `plotDensity` A logical value. If `TRUE`, then the density is plotted. If `plotTrace` is also `TRUE`, then two plots are generated. If they are both `FALSE`, then only the statistics are returned. `plotTrace` A logical value. If `TRUE`, then the trace is plotted. If `plotDensity` is also `TRUE`, then two plots are generated. If they are both `FALSE`, then only the statistics are returned.

### Details

As the degrees of freedom of the t goes to infinity, the scale parameter is the standard deviation of the resulting normal distribution (assuming zero skew). See `vignette('BALD')`.

### Value

Mainly called for the side effect of plotting.

`scaleParameter("AnnualAggLossDevModelOutput")`

### Examples

```rm(list=ls())
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)
scaleParameter(standard.model.output)

## End(Not run)```

[Package BALD version 1.0.0-3 Index]