MCMCglmm: MCMC Generalised Linear Mixed Models

Fits Multivariate Generalised Linear Mixed Models (and related models) using Markov chain Monte Carlo techniques.

Version: 2.32
Depends: Matrix, coda, ape
Imports: corpcor, tensorA, cubature, methods
Suggests: rgl, combinat, mvtnorm, orthopolynom
Published: 2021-03-12
Author: Jarrod Hadfield
Maintainer: Jarrod Hadfield <j.hadfield at ed.ac.uk>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
SystemRequirements: C++11
Citation: MCMCglmm citation info
In views: Bayesian, Phylogenetics, Psychometrics, SocialSciences, Survival
CRAN checks: MCMCglmm results

Documentation:

Reference manual: MCMCglmm.pdf
Vignettes: MCMCglmm CourseNotes
MCMCglmm Overview

Downloads:

Package source: MCMCglmm_2.32.tar.gz
Windows binaries: r-devel: MCMCglmm_2.32.zip, r-devel-UCRT: MCMCglmm_2.32.zip, r-release: MCMCglmm_2.32.zip, r-oldrel: MCMCglmm_2.32.zip
macOS binaries: r-release (arm64): MCMCglmm_2.32.tgz, r-release (x86_64): MCMCglmm_2.32.tgz, r-oldrel: MCMCglmm_2.32.tgz
Old sources: MCMCglmm archive

Reverse dependencies:

Reverse depends: MCMC.OTU, MCMC.qpcr, PSIMEX
Reverse imports: hmi, LRQMM, mfa, NO.PING.PONG, ref.ICAR, StempCens, tRophicPosition
Reverse suggests: agridat, brms, broom.mixed, gap, ggeffects, insight, miceadds, parameters, phyr, rotl, tidybayes
Reverse enhances: emmeans, MuMIn, nadiv

Linking:

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