.addREs

Fits random effects models for multi-level/high-cardinality factors using credibility theory (Buhlmann-Straub for single-level, Jewell for hierarchical structures), GLM extensions following Ohlsson (2008) <doi:10.1080/03461230701878612>, or Tweedie generalized linear mixed models. Provides functions for model fitting, visualization, and prediction. See Campo, B.D.C. and Antonio, K. (2023) <doi:10.1080/03461238.2022.2161413>.

De Cock Bavo

actuaRE

Handling Single-Level and Hierarchically Structured Risk Factors
using Credibility and Random Effects Models

Campo Bavo D.C.

.addREs function

<dl><dt>obj</dt>
<dd>object with model fit</dd>
<dt>newdata</dt>
<dd>an object coercible to <code>data.table</code>.</dd></dl>

Arguments

Add random effects to the data frame — .addREs

<dl>

<dt>obj</dt>
<dd>object with model fit</dd>


<dt>newdata</dt>
<dd>an object coercible to <code>data.table</code>.</dd>

</dl>

.addREs: Add random effects to the data frame

Description

Usage

Arguments