hglm: Hierarchical Generalized Linear Models

Implemented here are procedures for fitting hierarchical generalized linear models (HGLM). 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.

Version: 2.1-0
Depends: R (≥ 2.10), utils, Matrix, MASS, hglm.data
Published: 2015-05-19
Author: Moudud Alam, Lars Ronnegard, Xia Shen
Maintainer: Xia Shen <xia.shen at ki.se>
BugReports: https://r-forge.r-project.org/tracker/?group_id=558
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Citation: hglm citation info
Materials: ChangeLog
CRAN checks: hglm results


Reference manual: hglm.pdf
Vignettes: The hglm Package
Package source: hglm_2.1-0.tar.gz
Windows binaries: r-devel: hglm_2.1-0.zip, r-release: hglm_2.1-0.zip, r-oldrel: hglm_2.1-0.zip
OS X Snow Leopard binaries: r-release: hglm_2.1-0.tgz, r-oldrel: hglm_2.1-0.tgz
OS X Mavericks binaries: r-release: hglm_2.1-0.tgz
Old sources: hglm archive

Reverse dependencies:

Reverse depends: bigRR
Reverse suggests: GenABEL