Class "hierCredibility" of fitted hierarchical credibility models
hierCredibility-class.RdClass "hierCredibility" of fitted hierarchical credibility models
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.
s2is the estimated variance of the individual contracts,tausqthe estimate of \(Var(V[j])\) andnusqis 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.tablewith 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.hierCredibilityfunction, thesummaryfunction prints the random effect estimates as well. Returns an invisible copy of the original object.fitted:Returns the fitted values.