ChainLadder: plot.MackChainLadder – R documentation

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plot.MackChainLadder

Plot method for a MackChainLadder object

Description

plot.MackChainLadder, a method to plot the output of MackChainLadder. It is designed to give a quick overview of a MackChainLadder object and to check Mack's model assumptions.

Usage

## S3 method for class 'MackChainLadder'
plot(x, mfrow=NULL, title=NULL, 
lattice=FALSE, which=1:6, ...)

Arguments

`x`	output from `MackChainLadder`
`mfrow`	see `par`
`title`	see `title`
`lattice`	logical. Default is set to `FALSE` and plots as described in the details section are produced. If `lattice=TRUE`, the function `xyplot` of the lattice package is used to plot developments by origin period in different panels, plus Mack's S.E.
`which`	if a subset of the plots is required, specify a subset of the numbers 1:6.
`...`	optional arguments. See `plot.default` for more details.

Details

plot.MackChainLadder shows six graphs, starting from the top left with a stacked bar-chart of the latest claims position plus IBNR and Mack's standard error by origin period; next right to it is a plot of the forecasted development patterns for all origin periods (numbered, starting with 1 for the oldest origin period), and 4 residual plots. The residual plots show the standardised residuals against fitted values, origin period, calendar period and development period. All residual plot should show no patterns or directions for Mack's method to be applicable. Pattern in any direction can be the result of trends and should be further investigated, see Barnett and Zehnwirth. Best estimates for reserves. Proceedings of the CAS, LXXXVI I(167), November 2000. for more details on trends.

Author(s)

Markus Gesmann

Examples

plot(MackChainLadder(RAA))

ChainLadder

Statistical Methods and Models for Claims Reserving in General Insurance

v0.2.12

GPL (>= 2)

Authors

Markus Gesmann [aut, cre], Daniel Murphy [aut], Yanwei (Wayne) Zhang [aut], Alessandro Carrato [aut], Giuseppe Crupi [ctb], Christophe Dutang [ctb], Arnaud Lacoume [ctb], Arthur Charpentier [ctb], Mario Wuthrich [aut], Fabio Concina [aut], Eric Dal Moro [aut], Yuriy Krvavych [ctb], Vincent Goulet [ctb], Marco De Virgilis [ctb]

Initial release

2021-01-05