CRAN/E | glmmTMB

glmmTMB

Generalized Linear Mixed Models using Template Model Builder

Installation

About

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.

Citation glmmTMB citation info
github.com/glmmTMB/glmmTMB
System requirements GNU make
Bug report File report

Key Metrics

Version 1.1.9
R ≥ 3.6.0
Published 2024-03-20 9 days ago
Needs compilation? yes
License AGPL-3
CRAN checks glmmTMB results

Downloads

Yesterday 978 0%
Last 7 days 5.287 -18%
Last 30 days 20.196 +7%
Last 90 days 56.764 +4%
Last 365 days 213.703 -12%

Maintainer

Maintainer

Mollie Brooks

mollieebrooks@gmail.com

Authors

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

Daniel B. Stouffer

ctb

Material

NEWS
Reference manual
Package source

In Views

Environmetrics
MixedModels

Vignettes

Covariance structures with glmmTMB
Hacking glmmTMB
Post-hoc MCMC with glmmTMB
Miscellaneous examples
Parallel optimization using glmmTMB
Priors in glmmTMB
Simulate from a fitted glmmTMB model or a formula
Troubleshooting with glmmTMB
basic examples of glmmTMB usage
Model evaluation

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

glmmTMB archive

Depends

R ≥ 3.6.0

Imports

methods
TMB ≥ 1.9.0
lme4 ≥ 1.1-18.9000
Matrix
nlme
numDeriv
mgcv

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
parallel
blme
purrr
dplyr

LinkingTo

TMB
RcppEigen

Reverse Depends

gmvjoint
predictmeans

Reverse Imports

DEGRE
GLMMcosinor
glmmSeq
iccCounts
lefko3
LongDat
Maaslin2
mecoturn
mtscr
muscat
twosigma

Reverse Suggests

afex
AICcmodavg
bayestestR
broom.helpers
broom.mixed
buildmer
cv
DHARMa
ecostats
eyetrackingR
ggeffects
glmertree
insight
marginaleffects
metafor
mitml
mmrm
MOCHA
modelbased
multcomp
ordbetareg
parameters
performance
permutes
qra
RVAideMemoire
sdmTMB
see
sjPlot
tidybulk
tramME
WeMix

Reverse Enhances

texreg