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.

Maintainer: Mollie Brooks <mollieebrooks at gmail.com>

Author(s): Arni Magnusson*, Hans Skaug*, Anders Nielsen*, Casper Berg*, Kasper Kristensen*, Martin Maechler*, Koen van Bentham*, Ben Bolker*, Mollie Brooks*

Install package and any missing dependencies by running this line in your R console:

install.packages("glmmTMB")

Depends
Imports methods, TMB(>=1.7.6), lme4(>=1.1-10), Matrix, nlme
Suggests knitr, testthat, MASS, lattice, ggplot2, mlmRev, bbmle, pscl, MCMCpack, coda, reshape2
Enhances
Linking to TMB, RcppEigen
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depends
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imports
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suggests
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enhances
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linking to

Package glmmTMB
Materials
URL https://github.com/glmmTMB
Task Views
Version 0.1.1
Published 2017-02-20
License AGPL-3
BugReports https://github.com/glmmTMB/glmmTMB/issues
SystemRequirements
NeedsCompilation yes
Citation
CRAN checks glmmTMB check results
Package source glmmTMB_0.1.1.tar.gz