# Handling Hierarchically Structured Risk Factors using Random Effects Models

## Documentation for package ‘actuaRE’ version 0.1.6

- DESCRIPTION file.
- User guides, package vignettes and other documentation.

## Help Pages

actuaRE-package | Handling Hierarchically Structured Risk Factors using Random Effects Models
.addREs | Add random effects to the data frame
actuaRE | Handling Hierarchically Structured Risk Factors using Random Effects Models
adjustIntercept | Adjust the intercept to regain the balance property
BalanceProperty | Balance property
dataCar | data Car
findbars | Determine random-effects expressions from a formula
fitted.hierCredGLM | Class "hierCredGLM" of fitted random effects models estimated with Ohlsson's GLMC algorithm
fitted.hierCredibility | Class "hierCredibility" of fitted hierarchical credibility models
fitted.hierCredTweedie | Class "hierCredTweedie" of fitted random effects models estimated with Ohlsson's GLMC algorithm
fixed.effects | Extract fixed-effects estimates
fixef | Extract fixed-effects estimates
fixef-actuaRE | Extract the fixed-effects estimates from a fitted random effects model
fixef.hierCredGLM | Extract the fixed-effects estimates from a fitted random effects model
fixef.hierCredTweedie | Extract the fixed-effects estimates from a fitted random effects model
glFormula | Modular Functions for Mixed Model Fits
hachemeisterLong | Hachemeister Data Set
hierCredGLM | Combining the hierarchical credibility model with a GLM (Ohlsson, 2008)
hierCredGLM-class | Class "hierCredGLM" of fitted random effects models estimated with Ohlsson's GLMC algorithm
hierCredibility | Hierarchical credibility model of Jewell
hierCredibility-class | Class "hierCredibility" of fitted hierarchical credibility models
hierCredTweedie | Combining the hierarchical credibility model with a GLM (Ohlsson, 2008)
hierCredTweedie-class | Class "hierCredTweedie" of fitted random effects models estimated with Ohlsson's GLMC algorithm
is.formula | Formula
isNested | Is f1 nested within f2?
nobars | Omit terms separated by vertical bars in a formula
NrUnique | Number of unique elements in a vector
plotRE | Visualizing the random effect estimates using ggplot2
predict.hierCredGLM | Model predictions
predict.hierCredibility | Model predictions
predict.hierCredTweedie | Model predictions
print.BalanceProperty | Print method for an object of class 'BalanceProperty'
print.hierCredGLM | Class "hierCredGLM" of fitted random effects models estimated with Ohlsson's GLMC algorithm
print.hierCredibility | Class "hierCredibility" of fitted hierarchical credibility models
print.hierCredTweedie | Class "hierCredTweedie" of fitted random effects models estimated with Ohlsson's GLMC algorithm
ranef | Extract the modes of the random effects
ranef-actuaRE | Extract the random effect estimates from a fitted random effects model
ranef.hierCredGLM | Extract the random effect estimates from a fitted random effects model
ranef.hierCredibility | Extract the random effect estimates from a fitted random effects model
ranef.hierCredTweedie | Extract the random effect estimates from a fitted random effects model
summary.hierCredGLM | Class "hierCredGLM" of fitted random effects models estimated with Ohlsson's GLMC algorithm
summary.hierCredibility | Class "hierCredibility" of fitted hierarchical credibility models
summary.hierCredTweedie | Class "hierCredTweedie" of fitted random effects models estimated with Ohlsson's GLMC algorithm
tweedieGLMM | Fitting a Tweedie GLMM, using the initial estimates of hierCredTweedie
weights-actuaRE | Extract the model weights
weights.cpglm | Extract the model weights
weights.hierCredGLM | Extract the model weights
weights.hierCredTweedie | Extract the model weights