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.


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Reference manual

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install.packages("glmmTMB")

0.1.4 by Mollie Brooks, a month ago


https://github.com/glmmTMB


Report a bug at https://github.com/glmmTMB/glmmTMB/issues


Browse source code at https://github.com/cran/glmmTMB


Authors: 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]


Documentation:   PDF Manual  


AGPL-3 license


Imports methods, TMB, lme4, Matrix, nlme

Suggests knitr, testthat, MASS, lattice, ggplot2, mlmRev, bbmle, pscl, MCMCpack, coda, reshape2

Linking to TMB, RcppEigen


Imported by sjPlot, sjstats.

Suggested by sjlabelled.


See at CRAN