glmmTMB: Generalized Linear Mixed Models using Template Model Builder

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: 0.2.3
Depends: R (≥ 3.2.0)
Imports: methods, TMB (≥ 1.7.13), lme4 (≥ 1.1-18.9000), Matrix, nlme
LinkingTo: TMB, RcppEigen
Suggests: knitr, rmarkdown, testthat, MASS, lattice, ggplot2 (≥ 2.2.1), mlmRev, bbmle (≥ 1.0.19), pscl, coda, reshape2, car, emmeans, estimability, DHARMa, multcomp, MuMIn, effects, dotwhisker, broom, plyr, png, boot
Published: 2019-01-11
Author: Arni Magnusson ORCID iD [aut], Hans Skaug [aut], Anders Nielsen ORCID iD [aut], Casper Berg ORCID iD [aut], Kasper Kristensen [aut], Martin Maechler ORCID iD [aut], Koen van Bentham [aut], Nafis Sadat ORCID iD [ctb], Ben Bolker ORCID iD [aut], Mollie Brooks ORCID iD [aut, cre]
Maintainer: Mollie Brooks <mollieebrooks at gmail.com>
BugReports: https://github.com/glmmTMB/glmmTMB/issues
License: AGPL-3
URL: https://github.com/glmmTMB
NeedsCompilation: yes
Citation: glmmTMB citation info
Materials: NEWS
CRAN checks: glmmTMB results

Downloads:

Reference manual: glmmTMB.pdf
Vignettes: random effect structures
post-hoc MCMC
miscellaneous examples
model_evaluation
simulate
troubleshooting
basic examples of glmmTMB usage
Package source: glmmTMB_0.2.3.tar.gz
Windows binaries: r-devel: glmmTMB_0.2.3.zip, r-release: glmmTMB_0.2.3.zip, r-oldrel: glmmTMB_0.2.3.zip
OS X binaries: r-release: glmmTMB_0.2.3.tgz, r-oldrel: glmmTMB_0.2.3.tgz
Old sources: glmmTMB archive

Reverse dependencies:

Reverse imports: DHARMa, sjPlot
Reverse suggests: afex, AICcmodavg, broom.mixed, buildmer, ggeffects, ggstatsplot, glmmboot, insight, performance, sjlabelled, sjstats

Linking:

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