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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: 0.9-1
Imports: MASS, nlme, parallel, matrixStats
Suggests: lattice, knitr, rmarkdown, pkgdown, multcomp, emmeans, estimability, effects, DHARMa, optimParallel
Published: 2023-10-17
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
In views: MixedModels
CRAN checks: GLMMadaptive results

Documentation:

Reference manual: GLMMadaptive.pdf
Vignettes: GLMMadaptive Basics

Downloads:

Package source: GLMMadaptive_0.9-1.tar.gz
Windows binaries: r-devel: GLMMadaptive_0.9-1.zip, r-release: GLMMadaptive_0.9-1.zip, r-oldrel: GLMMadaptive_0.9-1.zip
macOS binaries: r-release (arm64): GLMMadaptive_0.9-1.tgz, r-oldrel (arm64): GLMMadaptive_0.9-1.tgz, r-release (x86_64): GLMMadaptive_0.9-1.tgz, r-oldrel (x86_64): GLMMadaptive_0.9-1.tgz
Old sources: GLMMadaptive archive

Reverse dependencies:

Reverse depends: JMbayes2
Reverse imports: powerEQTL, ptmixed
Reverse suggests: broom.mixed, buildmer, DHARMa, ggeffects, insight, metafor, parameters

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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