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 |