hglm: A Package for Fitting Hierarchical Generalized Linear Models

Lars Rönnegård; Xia Shen; Moudud Alam

hglm: A Package for Fitting Hierarchical Generalized Linear Models

Lars Rönnegård
, Xia Shen
, Moudud Alam

Publication: Contribution to journal › Journal article › peer-review

Abstract

We present the hglm package for fitting 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 model.

Original language	English
Pages (from-to)	20-28
Number of pages	9
Journal	The R journal
Volume	2
Issue number	2
Publication status	Published - 2010

Cite this

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title = "hglm: A Package for Fitting Hierarchical Generalized Linear Models",

abstract = "We present the hglm package for fitting 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 model.",

author = "Lars R{\"o}nneg{\aa}rd and Xia Shen and Moudud Alam",

year = "2010",

language = "English",

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pages = "20--28",

journal = "The R journal",

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T1 - hglm: A Package for Fitting Hierarchical Generalized Linear Models

AU - Rönnegård, Lars

AU - Shen, Xia

AU - Alam, Moudud

PY - 2010

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N2 - We present the hglm package for fitting 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 model.

AB - We present the hglm package for fitting 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 model.

UR - https://res.slu.se/id/publ/32605

M3 - Journal article

SN - 2073-4859

VL - 2

SP - 20

EP - 28

JO - The R journal

JF - The R journal

IS - 2

ER -

hglm: A Package for Fitting Hierarchical Generalized Linear Models

Abstract

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