summary.BootChainLadder {ChainLadder} | R Documentation |
summary
, print
, mean
, and quantile
methods for BootChainLadder
objects
## S3 method for class 'BootChainLadder': summary(object, probs=c(0.75,0.95), ...) ## S3 method for class 'BootChainLadder': print(x, probs=c(0.75,0.95), ...) ## S3 method for class 'BootChainLadder': quantile(x, probs=c(0.75, 0.95), na.rm = FALSE, names = TRUE, type = 7,...) ## S3 method for class 'BootChainLadder': mean(x, ...) ## S3 method for class 'BootChainLadder': residuals(object, ...)
x, object |
output from BootChainLadder |
probs |
numeric vector of probabilities with values in [0,1],
see quantile for more help |
na.rm |
logical; if true, any NA and NaN 's are
removed from 'x' before the quantiles are computed,
see quantile for more help |
names |
logical; if true, the result has a names
attribute. Set to FALSE for speedup with many 'probs',
see quantile for more help |
type |
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 |
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.
summary.BootChainLadder
, mean.BootChainLadder
, and
quantile.BootChainLadder
, give a list with two elements back:
ByOrigin |
data frame with summary/mean/quantile statistics by origin period |
Totals |
data frame with total summary/mean/quantile statistics for all origin period |
Markus Gesmann
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))