MCMCglmm: MCMC Generalised Linear Mixed Models

MCMC Generalised Linear Mixed Models.

Version: 2.24
Depends: Matrix, coda, ape
Imports: corpcor, tensorA, cubature, methods
Suggests: rgl, combinat, mvtnorm, orthopolynom
Published: 2016-11-14
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

Downloads:

Reference manual: MCMCglmm.pdf
Vignettes: MCMCglmm CourseNotes
MCMCglmm Overview
Package source: MCMCglmm_2.24.tar.gz
Windows binaries: r-devel: MCMCglmm_2.24.zip, r-release: MCMCglmm_2.24.zip, r-oldrel: MCMCglmm_2.24.zip
OS X El Capitan binaries: r-release: MCMCglmm_2.24.tgz
OS X Mavericks binaries: r-oldrel: MCMCglmm_2.24.tgz
Old sources: MCMCglmm archive

Reverse dependencies:

Reverse depends: MCMC.OTU, MCMC.qpcr, pedantics
Reverse imports: hmi, miceadds, tRophicPosition
Reverse suggests: agridat, brms, gap, IPMpack, lsmeans, rotl
Reverse enhances: MuMIn, nadiv

Linking:

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