glmm: Generalized Linear Mixed Models via Monte Carlo Likelihood Approximation

Approximates the likelihood of a generalized linear mixed model using Monte Carlo likelihood approximation. Then maximizes the likelihood approximation to return maximum likelihood estimates, observed Fisher information, and other model information.

Version: 1.2.3
Depends: R (≥ 3.1.1), trust, mvtnorm, Matrix, digest
Imports: stats
Suggests: knitr
Published: 2018-02-22
Author: Christina Knudson [aut, cre], Charles J. Geyer [ctb]
Maintainer: Christina Knudson <knud8583 at stthomas.edu>
License: GPL-2
NeedsCompilation: yes
CRAN checks: glmm results

Downloads:

Reference manual: glmm.pdf
Vignettes: intro
Package source: glmm_1.2.3.tar.gz
Windows binaries: r-devel: glmm_1.2.3.zip, r-release: glmm_1.2.3.zip, r-oldrel: glmm_1.2.3.zip
OS X binaries: r-release: glmm_1.2.3.tgz, r-oldrel: glmm_1.2.3.tgz
Old sources: glmm archive

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