Class "hierCredTweedie" of fitted random effects models estimated with Ohlsson's GLMC algorithm

Class "hierCredTweedie" of fitted random effects models estimated with Ohlsson's GLMC algorithm

Usage

# S3 method for hierCredTweedie
print(x, ...)

# S3 method for hierCredTweedie
summary(object, ...)

# S3 method for hierCredTweedie
fitted(object, ...)

Arguments

x

an object of class hierCredTweedie

...

currently ignored.

object

an object of class hierCredTweedie

Value

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

call

the matched call

HierarchicalResults

results of the hierarchical credibility model.

fitGLM

the results from fitting the GLM part.

iter

total number of iterations.

Converged

logical indicating whether the algorithm converged.

LevelsCov

object that summarizes the unique levels of each of the contract-specific covariates.

fitted.values

the fitted mean values, resulting from the model fit.

prior.weights

the weights (exposure) initially supplied.

y

if requested, the response vector. Default is TRUE.

S3 methods

print:

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

summary:

In addition to the output of the print.hierCredTweedie function, the summary function also prints the random effect estimates and a summary of the GLM (see summary.speedglm). Returns an invisible copy of the original object.

fitted:

Returns the fitted values.

See also

hierCredTweedie