MCMCglmm: MCMC Generalised Linear Mixed Models (original) (raw)
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:
Downloads:
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 formhttps://CRAN.R-project.org/package=MCMCglmmto link to this page.