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summary
, print
, mean
, and quantile
methods for BootChainLadder
objects
# S3 method for BootChainLadder
summary(object, probs=c(0.75,0.95), ...)# S3 method for BootChainLadder
print(x, probs=c(0.75,0.95), ...)
# S3 method for BootChainLadder
quantile(x, probs=c(0.75, 0.95), na.rm = FALSE,
names = TRUE, type = 7,...)
# S3 method for BootChainLadder
mean(x, ...)
# S3 method for BootChainLadder
residuals(object, ...)
summary.BootChainLadder
, mean.BootChainLadder
, and
quantile.BootChainLadder
, give a list with two elements back:
data frame with summary/mean/quantile statistics by origin period
data frame with total summary/mean/quantile statistics for all origin period
output from BootChainLadder
numeric vector of probabilities with values in [0,1],
see quantile
for more help
logical; if true, any NA
and NaN
's are
removed from 'x' before the quantiles are computed,
see quantile
for more help
logical; if true, the result has a names
attribute. Set to FALSE
for speedup with many 'probs',
see quantile
for more help
an integer between 1 and 9 selecting one of the nine quantile
algorithms detailed below to be used, see quantile
further arguments passed to or from other methods
Markus Gesmann
print.BootChainLadder
calls summary.BootChainLadder
and
prints a formatted version of the summary.
residuals.BootChainLadder
gives the residual triangle of
the expected chain-ladder minus the actual triangle back.
See also BootChainLadder
B <- BootChainLadder(RAA, R=999, process.distr="gamma")
B
summary(B)
mean(B)
quantile(B, c(0.75,0.95,0.99, 0.995))
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