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hglm (version 2.0-2)

Hierarchical Generalized Linear Models

Description

The hglm package is used to fit hierarchical generalized linear models. It can be used for linear mixed models and generalized linear mixed models with random effects for a variety of links and a variety of distributions for both the outcomes and the random effects. Fixed effects can also be fitted in the dispersion part of the mean model.

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Version

Install

install.packages('hglm')

Monthly Downloads

711

Version

2.0-2

License

GPL (>= 2)

Maintainer

Xia Shen

Last Published

January 13th, 2014

Functions in hglm (2.0-2)

cancer

Scottish lip cancer dataset from Clayton and Kaldor (1987)
hglm-package

Hierarchical Generalized Linear Models
hglm

Fitting Hierarchical Generalized Linear Models
salamander

Salamander mating data set from McCullagh and Nelder (1989)
lrt

Likelihood-ratio test for variance components in hglm
CAR

Conditional Auto Regressive Family
ohio

Ohio elementary school dataset
pump

Pump reliability data set from Gaver and O'Muircheartaigh (1987)
seeds

Seeds genrmination data set from Crowder (1978)
semiconductor

Semiconductor data set from GenStat.
QTLMAS

Simulated Data Set for the QTLMAS 2009 Workshop
Beta

Extended Beta Family
plot.hglm

Plot Hierarchical Generalized Linear Model Objects
hglm2

Fitting Hierarchical Generalized Linear Models