MCMCglmm: MCMC Generalised Linear Mixed Models

Fits Multivariate Generalised Linear Mixed Models (and related models) using Markov chain Monte Carlo techniques (Hadfield 2010 J. Stat. Soft.).

Version:	2.33
Depends:	Matrix, coda, ape
Imports:	corpcor, tensorA, cubature, methods
Suggests:	rgl, combinat, mvtnorm, orthopolynom
Published:	2022-01-26
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, Psychometrics, Survival
CRAN checks:	MCMCglmm results

Documentation:

Reference manual:

MCMCglmm.pdf

Downloads:

Package source:	MCMCglmm_2.33.tar.gz
Windows binaries:	r-devel: MCMCglmm_2.33.zip, r-release: MCMCglmm_2.33.zip, r-oldrel: MCMCglmm_2.33.zip
macOS binaries:	r-release (arm64): MCMCglmm_2.33.tgz, r-oldrel (arm64): MCMCglmm_2.33.tgz, r-release (x86_64): MCMCglmm_2.33.tgz, r-oldrel (x86_64): MCMCglmm_2.33.tgz
Old sources:	MCMCglmm archive

Reverse dependencies:

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

Linking:

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