Class "hierCredibility" of fitted hierarchical credibility models
hierCredibility-class.Rd
Class "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.
s2
is the estimated variance of the individual contracts,tausq
the estimate of \(Var(V[j])\) andnusq
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, thesummary
function prints the random effect estimates as well. Returns an invisible copy of the original object.fitted
:Returns the fitted values.