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: |
1.1.4 |
Depends: |
R (≥ 3.2.0) |
Imports: |
methods, TMB (≥ 1.9.0), lme4 (≥ 1.1-18.9000), Matrix, nlme, numDeriv |
LinkingTo: |
TMB, RcppEigen |
Suggests: |
knitr, rmarkdown, testthat, MASS, lattice, ggplot2 (≥
2.2.1), mlmRev, bbmle (≥ 1.0.19), pscl, coda, reshape2, car (≥ 3.0.6), emmeans (≥ 1.4), estimability, DHARMa, multcomp, MuMIn, effects (≥ 4.0-1), dotwhisker, broom, broom.mixed, plyr, png, boot, texreg, xtable, huxtable, mvabund |
Published: |
2022-07-12 |
Author: |
Mollie Brooks
[aut, cre],
Ben Bolker [aut],
Kasper Kristensen [aut],
Martin Maechler
[aut],
Arni Magnusson
[aut],
Maeve McGillycuddy [ctb],
Hans Skaug [aut],
Anders Nielsen
[aut],
Casper Berg [aut],
Koen van Bentham [aut],
Nafis Sadat [ctb],
Daniel Lüdecke
[ctb],
Russ Lenth [ctb],
Joseph O'Brien
[ctb],
Charles J. Geyer [ctb],
Mikael Jagan
[ctb],
Brenton Wiernik
[ctb] |
Maintainer: |
Mollie Brooks <mollieebrooks at gmail.com> |
BugReports: |
https://github.com/glmmTMB/glmmTMB/issues |
License: |
AGPL-3 |
URL: |
https://github.com/glmmTMB/glmmTMB |
NeedsCompilation: |
yes |
SystemRequirements: |
GNU make |
Citation: |
glmmTMB citation info |
Materials: |
NEWS |
CRAN checks: |
glmmTMB results |