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: | 0.2.0 |
| Imports: | methods, TMB (≥ 1.7.6), lme4 (≥ 1.1-10), Matrix, nlme |
| LinkingTo: | TMB, RcppEigen |
| Suggests: | knitr, testthat, MASS, lattice, ggplot2, mlmRev, bbmle (≥ 1.0.19), pscl, MCMCpack, coda, reshape2 |
| Published: | 2017-12-11 |
| 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 gmail.com> |
| BugReports: | https://github.com/glmmTMB/glmmTMB/issues |
| License: | AGPL-3 |
| URL: | https://github.com/glmmTMB |
| NeedsCompilation: | yes |
| Citation: | glmmTMB citation info |
| CRAN checks: | glmmTMB results |
| Reference manual: | glmmTMB.pdf |
| Vignettes: |
random effect structures post-hoc MCMC miscellaneous examples simulate troubleshooting basic examples of glmmTMB usage |
| Package source: | glmmTMB_0.2.0.tar.gz |
| Windows binaries: | r-devel: glmmTMB_0.2.0.zip, r-release: glmmTMB_0.2.0.zip, r-oldrel: glmmTMB_0.2.0.zip |
| OS X El Capitan binaries: | r-release: glmmTMB_0.2.0.tgz |
| OS X Mavericks binaries: | r-oldrel: glmmTMB_0.2.0.tgz |
| Old sources: | glmmTMB archive |
| Reverse imports: | sjPlot, sjstats |
| Reverse suggests: | sjlabelled |
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