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hglm (version 2.0-4)

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

2.0-4

License

GPL (>= 2)

Maintainer

Xia Shen

Last Published

January 21st, 2014

Functions in hglm (2.0-4)

Beta

Extended Beta Family
ohio

Ohio elementary school dataset
CAR

Conditional Auto Regressive Family
hglm

Fitting Hierarchical Generalized Linear Models
pump

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

Seeds genrmination data set from Crowder (1978)
lrt

Likelihood-ratio test for variance components in hglm
cancer

Scottish lip cancer dataset from Clayton and Kaldor (1987)
semiconductor

Semiconductor data set from GenStat.
salamander

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

Simulated Data Set for the QTLMAS 2009 Workshop
hglm2

Fitting Hierarchical Generalized Linear Models
plot.hglm

Plot Hierarchical Generalized Linear Model Objects
hglm-package

Hierarchical Generalized Linear Models