predict.hierCredGLM

Obtain predictions based on the model fit with <code>hierCredGLM</code>

Using this package, you can fit a random effects model using either the hierarchical credibility model, a combination of the hierarchical credibility model with a generalized linear model or a Tweedie generalized linear mixed model. See Campo, B.D.C. and Antonio, K. (2023) <doi:10.1080/03461238.2022.2161413>.

De Cock Bavo

actuaRE

Handling Hierarchically Structured Risk Factors using Random
Effects Models

Campo Bavo D.C.

predict.hierCredGLM function

<dl><dt>object</dt>
<dd>a model object for which prediction is desired.</dd>
<dt>newdata</dt>
<dd>optionally, a data frame in which to look for variables with which to predict. If omitted, the fitted values are used.</dd>
<dt>...</dt>
<dd>arguments passed to <code>glm</code></dd></dl>

Arguments

Model predictions — predict.hierCredGLM

<dl>

<dt>object</dt>
<dd>a model object for which prediction is desired.</dd>


<dt>newdata</dt>
<dd>optionally, a data frame in which to look for variables with which to predict. If omitted, the fitted values are used.</dd>


<dt>...</dt>
<dd>arguments passed to <code>glm</code></dd>

</dl>

predict.hierCredGLM: Model predictions

Description

Usage

Value

Arguments

Details

See Also