hierCredibility-class: Class "hierCredibility" of fitted hierarchical credibility...

In actuaRE: Handling Hierarchically Structured Risk Factors using Random Effects Models

Class "hierCredibility" of fitted hierarchical credibility models

Description

Class "hierCredibility" of fitted hierarchical credibility models

Usage

## S3 method for class 'hierCredibility'
print(x, ...)

## S3 method for class 'hierCredibility'
summary(object, ...)

## S3 method for class 'hierCredibility'
fitted(object, ...)

Arguments

x	an object of class hierCredibility
...	currently ignored.
object	an object of class hierCredibility

Value

The function hierCredibility returns an object of class hierCredibility, which has the following slots:

call	the matched call
type	Whether additive or multiplicative hierarchical credibility model is used.
Variances	The estimated variance components. s2 is the estimated variance of the individual contracts, tausq the estimate of Var(V[j]) and nusq is the estimate of Var(V[jk]).
Means	The estimated averages at the portfolio level (intercept term \mu), at the first hierarchical level (bar(Y)[\%.\% j \%.\% \%.\%]^z) and at the second hierarchical level (bar(Y)[\%.\% jk \%.\%]).
Weights	The weights at the first hierarchical level z[j\%.\%] and at the second hierarchical level w[\%.\%jk\%.\%].
Credibility	The credibility weights at the first hierarchical level q[j\%.\%] and at the second hierarchical level z[jk].
Premiums	The overall expectation widehat(\mu), sector expectation widehat(V)[j] and group expectation widehat(V)[jk].
Relativity	The estimated random effects widehat(U)[j] and widehat(U)[jk] of the sector and group, respectively.
RawResults	Objects of type data.table with all intermediate results.
fitted.values	the fitted mean values, resulting from the model fit.

S3 methods

print:

Prints the call, the estimated variance parameters and the unique number of categories of the hierarchical MLF. The ... argument is currently ignored. Returns an invisible copy of the original object.

summary:

In addition to the output of the print.hierCredibility function, the summary function prints the random effect estimates as well. Returns an invisible copy of the original object.

fitted:

Returns the fitted values.

See Also

hierCredibility

actuaRE documentation built on Aug. 8, 2025, 7:47 p.m.