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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: 2.36
Depends: Matrix, coda, ape
Imports: corpcor, tensorA, cubature, methods
Suggests: rgl, combinat, mvtnorm, orthopolynom, MCMCpack, bayesm, msm
Published: 2024-05-06
DOI: 10.32614/CRAN.package.MCMCglmm
Author: Jarrod Hadfield
Maintainer: Jarrod Hadfield <j.hadfield at ed.ac.uk>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://github.com/jarrodhadfield/MCMCglmm
NeedsCompilation: yes
Citation: MCMCglmm citation info
In views: Bayesian, MixedModels, Phylogenetics, Psychometrics, Survival
CRAN checks: MCMCglmm results

Documentation:

Reference manual: MCMCglmm.pdf

Downloads:

Package source: MCMCglmm_2.36.tar.gz
Windows binaries: r-devel: MCMCglmm_2.36.zip, r-release: MCMCglmm_2.36.zip, r-oldrel: MCMCglmm_2.36.zip
macOS binaries: r-release (arm64): MCMCglmm_2.36.tgz, r-oldrel (arm64): MCMCglmm_2.36.tgz, r-release (x86_64): MCMCglmm_2.36.tgz, r-oldrel (x86_64): MCMCglmm_2.36.tgz
Old sources: MCMCglmm archive

Reverse dependencies:

Reverse depends: MCMC.OTU, MCMC.qpcr
Reverse imports: BayesMultiMode, BiostatsUHNplus, mfa, NO.PING.PONG, pedtricks, ref.ICAR, StempCens
Reverse suggests: agridat, brms, broom.mixed, dispRity, ecostats, gap, ggeffects, insight, marginaleffects, miceadds, parameters, phyr, rotl, tidybayes
Reverse enhances: emmeans, MuMIn, nadiv

Linking:

Please use the canonical form https://CRAN.R-project.org/package=MCMCglmm to link to this page.

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.