glmmTMB: Generalized Linear Mixed Models using Template Model Builder (original) (raw)
Fit linear and generalized linear mixed models with various extensions, including zero-inflation. The models are fitted using maximum likelihood estimation via 'TMB' (Template Model Builder). Random effects are assumed to be Gaussian on the scale of the linear predictor and are integrated out using the Laplace approximation. Gradients are calculated using automatic differentiation.
| Version: | 1.1.13 |
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| Depends: | R (≥ 3.6.0) |
| Imports: | methods, TMB (≥ 1.9.0), lme4 (≥ 1.1-18.9000), Matrix, nlme, numDeriv, mgcv, reformulas (≥ 0.2.0), pbkrtest, sandwich |
| LinkingTo: | TMB, RcppEigen |
| Suggests: | knitr, rmarkdown, testthat, MASS, lattice, ggplot2 (≥ 2.2.1), mlmRev, bbmle (≥ 1.0.19), pscl, coda, reshape2, car (≥ 3.0.6), emmeans (≥ 1.4), estimability, DHARMa, multcomp, MuMIn, effects (≥ 4.0-1), dotwhisker, broom, broom.mixed, plyr, png, boot, texreg, xtable, huxtable, parallel, blme, purrr, dplyr, ade4, ape, gsl, lmerTest |
| Published: | 2025-10-09 |
| DOI: | 10.32614/CRAN.package.glmmTMB |
| Author: | Mollie Brooks  [aut, cre], Ben Bolker [aut], Kasper Kristensen [aut], Martin Maechler [aut], Arni Magnusson [aut], Maeve McGillycuddy [ctb], Hans Skaug [aut], Anders Nielsen [aut], Casper Berg [aut], Koen van Bentham [aut], Nafis Sadat [ctb], Daniel Lüdecke [ctb], Russ Lenth [ctb], Joseph O'Brien [ctb], Charles J. Geyer [ctb], Mikael Jagan [ctb], Brenton Wiernik [ctb], Daniel B. Stouffer [ctb], Michael Agronah [ctb], Hatice Tül Kübra Akdur [ctb], Daniel Sabanés Bové [ctb], Nikolas Krieger [ctb] |
| Maintainer: | Mollie Brooks |
| BugReports: | https://github.com/glmmTMB/glmmTMB/issues |
| License: | AGPL-3 |
| URL: | https://github.com/glmmTMB/glmmTMB |
| NeedsCompilation: | yes |
| SystemRequirements: | GNU make |
| Citation: | glmmTMB citation info |
| Materials: | NEWS |
| In views: | ClinicalTrials, Environmetrics, MixedModels |
| CRAN checks: | glmmTMB results |
Documentation:
| Reference manual: | glmmTMB.html , <glmmTMB.pdf> |
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| Vignettes: | Covariance structures with glmmTMB (source, R code) Hacking glmmTMB (source, R code) Post-hoc MCMC with glmmTMB (source, R code) Miscellaneous examples (source, R code) Parallel optimization using glmmTMB (source, R code) Priors in glmmTMB (source, R code) Simulate from a fitted glmmTMB model or a formula (source, R code) Troubleshooting with glmmTMB (source, R code) basic examples of glmmTMB usage (source, R code) Model evaluation (source, R code) |
Downloads:
Reverse dependencies:
| Reverse depends: | gmvjoint, predictmeans |
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| Reverse imports: | AssumpSure, cv, DEGRE, depower, GLMMcosinor, glmmSeq, iccCounts, lefko3, LongDat, mecoturn, mtscr, multilevelmediation, muscat, pastaPlot, pdR, scLANE, swCRTdesign, twosigma |
| Reverse suggests: | afex, AICcmodavg, asympDiag, bayestestR, broom.helpers, broom.mixed, buildmer, DHARMa, easystats, easyViz, ecostats, eyetrackingR, ggeffects, glmertree, gratia, insight, marginaleffects, marginme, MDMA, metafor, mitml, mmrm, modelbased, modelsummary, multcomp, ordbetareg, parameters, performance, permutes, qra, reformulas, report, RESI, RVAideMemoire, sdmTMB, see, sjPlot, tidybulk, tinyVAST, tram, tramME, visreg, WeMix |
| Reverse enhances: | MuMIn, texreg |
Linking:
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