GLMMadaptive: Generalized Linear Mixed Models using Adaptive Gaussian Quadrature

Fits generalized linear mixed models for a single grouping factor under maximum likelihood approximating the integrals over the random effects with an adaptive Gaussian quadrature rule; Jose C. Pinheiro and Douglas M. Bates (1995) <doi:10.1080/10618600.1995.10474663>.

Version: 0.4-0
Imports: MASS, nlme, parallel
Suggests: lattice, knitr, rmarkdown, pkgdown, multcomp, emmeans, estimability, optimParallel
Published: 2018-11-05
Author: Dimitris Rizopoulos ORCID iD [aut, cre]
Maintainer: Dimitris Rizopoulos <d.rizopoulos at erasmusmc.nl>
BugReports: https://github.com/drizopoulos/GLMMadaptive/issues
License: GPL (≥ 3)
URL: https://drizopoulos.github.io/GLMMadaptive/, https://github.com/drizopoulos/GLMMadaptive
NeedsCompilation: no
Materials: README NEWS
CRAN checks: GLMMadaptive results

Downloads:

Reference manual: GLMMadaptive.pdf
Vignettes: Custom Models
Dynamic Predictions
GLMMadaptive Basics
Methods for MixMod Objects
Multiple Comparisons for MixMod Objects
Zero-Inflated and Two-Part Mixed Effects Models
Package source: GLMMadaptive_0.4-0.tar.gz
Windows binaries: r-devel: GLMMadaptive_0.4-0.zip, r-release: GLMMadaptive_0.4-0.zip, r-oldrel: GLMMadaptive_0.4-0.zip
OS X binaries: r-release: GLMMadaptive_0.4-0.tgz, r-oldrel: GLMMadaptive_0.4-0.tgz
Old sources: GLMMadaptive archive

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