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: 1.1.11 Depends: R (≥ 3.6.0) Imports: methods, TMB (≥ 1.9.0), lme4 (≥ 1.1-18.9000), Matrix, nlme, numDeriv, mgcv, reformulas (≥ 0.2.0) 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 Published: 2025-04-02 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] Maintainer: Mollie Brooks <mollieebrooks at gmail.com> 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: Environmetrics, MixedModels CRAN checks: glmmTMB resultsRetroSearch is an open source project built by @garambo | Open a GitHub Issue
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