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: 0.1.1
Imports: methods, TMB (≥ 1.7.6), lme4 (≥ 1.1-10), Matrix, nlme
LinkingTo: TMB, RcppEigen
Suggests: knitr, testthat, MASS, lattice, ggplot2, mlmRev, bbmle, pscl, MCMCpack, coda, reshape2
Published: 2017-02-20
Author: Arni Magnusson [aut], Hans Skaug [aut], Anders Nielsen [aut], Casper Berg [aut], Kasper Kristensen [aut], Martin Maechler [aut], Koen van Bentham [aut], Ben Bolker [aut], Mollie Brooks [aut, cre]
Maintainer: Mollie Brooks <mollieebrooks at>
License: AGPL-3
NeedsCompilation: yes
CRAN checks: glmmTMB results


Reference manual: glmmTMB.pdf
Vignettes: Vignette Title
post-hoc MCMC
basic examples of glmmTMB usage
Package source: glmmTMB_0.1.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X El Capitan binaries: r-release: glmmTMB_0.1.1.tgz
OS X Mavericks binaries: r-oldrel: glmmTMB_0.1.1.tgz

Reverse dependencies:

Reverse imports: sjstats


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