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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: | 1.1.9 |
Depends: | R (≥ 3.6.0) |
Imports: | methods, TMB (≥ 1.9.0), lme4 (≥ 1.1-18.9000), Matrix, nlme, numDeriv, mgcv |
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, mvabund, parallel, blme, purrr, dplyr |
Published: | 2024-03-20 |
DOI: | 10.32614/CRAN.package.glmmTMB |
Author: | Mollie Brooks |
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 results [issues need fixing before 2024-09-20] |
Package source: | glmmTMB_1.1.9.tar.gz |
Windows binaries: | r-devel: glmmTMB_1.1.9.zip, r-release: glmmTMB_1.1.9.zip, r-oldrel: glmmTMB_1.1.9.zip |
macOS binaries: | r-release (arm64): glmmTMB_1.1.9.tgz, r-oldrel (arm64): glmmTMB_1.1.9.tgz, r-release (x86_64): glmmTMB_1.1.9.tgz, r-oldrel (x86_64): glmmTMB_1.1.9.tgz |
Old sources: | glmmTMB archive |
Reverse depends: | gmvjoint, predictmeans |
Reverse imports: | cv, DEGRE, GLMMcosinor, glmmSeq, iccCounts, lefko3, LongDat, Maaslin2, mecoturn, mtscr, muscat, pastaPlot, pdR, twosigma |
Reverse suggests: | afex, AICcmodavg, bayestestR, broom.helpers, broom.mixed, buildmer, DHARMa, easystats, ecostats, eyetrackingR, ggeffects, glmertree, gratia, insight, marginaleffects, metafor, mitml, mmrm, MOCHA, modelbased, multcomp, ordbetareg, parameters, performance, permutes, qra, RVAideMemoire, sdmTMB, see, sjPlot, tidybulk, tramME, WeMix |
Reverse enhances: | MuMIn, texreg |
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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.