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: 0.8-0
Imports: MASS, nlme, parallel, matrixStats
Suggests: lattice, knitr, rmarkdown, pkgdown, multcomp, emmeans, estimability, effects, DHARMa, optimParallel
Published: 2021-01-27
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
Goodness of Fit for MixMod Objects
Methods for MixMod Objects
Multiple Comparisons for MixMod Objects
Optimization and Numerical Integration
Mixed Models for Ordinal Data
Zero-Inflated and Two-Part Mixed Effects Models
Package source: GLMMadaptive_0.8-0.tar.gz
Windows binaries: r-devel: GLMMadaptive_0.8-0.zip, r-release: GLMMadaptive_0.8-0.zip, r-oldrel: GLMMadaptive_0.8-0.zip
macOS binaries: r-release (arm64): GLMMadaptive_0.8-0.tgz, r-release (x86_64): GLMMadaptive_0.8-0.tgz, r-oldrel: GLMMadaptive_0.8-0.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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