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glmmTMB
View on CRAN: Click
here
Download and install glmmTMB package within the R console
Install from CRAN:
install.packages("glmmTMB")
Install from Github:
library("remotes")
install_github("cran/glmmTMB")
Install by package version:
library("remotes")
install_version("glmmTMB", "1.1.10")
Attach the package and use:
library("glmmTMB")
Maintained by
Mollie Brooks
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.glmmTMB . https://github.com/glmmTMB/glmmTMB/issues . https://github.com/glmmTMB/glmmTMB . glmmTMB citation info . glmmTMB results . glmmTMB.pdf . Covariance structures with glmmTMB . Hacking glmmTMB . Post-hoc MCMC with glmmTMB . Parallel optimization using glmmTMB . Priors in glmmTMB . Simulate from a fitted glmmTMB model or a formula . Troubleshooting with glmmTMB . basic examples of glmmTMB usage . glmmTMB_1.1.11.tar.gz . glmmTMB_1.1.11.zip . glmmTMB_1.1.11.zip . glmmTMB_1.1.11.zip . glmmTMB_1.1.11.tgz . glmmTMB_1.1.11.tgz . glmmTMB_1.1.11.tgz . glmmTMB_1.1.11.tgz . glmmTMB_1.1.11.tgz . glmmTMB_1.1.11.tgz . glmmTMB archive . https://CRAN.R-project.org/package=glmmTMB .
First Published: 2017-02-20
Latest Update: 2023-04-05
Description:
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.
How to cite:
Mollie Brooks (2017). glmmTMB: Generalized Linear Mixed Models using Template Model Builder. R package version 1.1.10, https://cran.r-project.org/web/packages/glmmTMB. Accessed 05 Apr. 2025.
Previous versions and publish date:
0.1.1 (2017-02-20 15:23), 0.1.4 (2017-10-26 22:52), 0.2.0 (2017-12-11 15:47), 0.2.1.0 (2018-05-11 00:04), 0.2.2.0 (2018-07-03 06:10), 0.2.3 (2019-01-11 17:30), 1.0.0 (2020-02-03 22:10), 1.0.1 (2020-03-15 23:20), 1.0.2.1 (2020-07-02 13:30), 1.1.1 (2021-06-24 09:00), 1.1.2.2 (2021-09-02 01:00), 1.1.2.3 (2021-09-20 16:40), 1.1.2 (2021-07-20 09:30), 1.1.3 (2022-03-14 00:00), 1.1.4 (2022-07-12 13:00), 1.1.5 (2022-11-16 23:40), 1.1.6 (2023-03-19 23:20), 1.1.7 (2023-04-05 23:03), 1.1.8 (2023-10-07 16:00), 1.1.9 (2024-03-20 17:40), 1.1.10 (2024-09-27 00:50)
Other packages that cited glmmTMB R package
View glmmTMB citation profile
Other R packages that glmmTMB depends,
imports, suggests or enhances
Complete documentation for glmmTMB
Functions, R codes and Examples using
the glmmTMB R package
Some associated functions: Owls . RHSForm . Salamanders . VarCorr.glmmTMB . bootmer_methods . checkDepPackageVersion . confint.glmmTMB . diagnose . dot-adjustX . dot-checkRankX . dot-collectDuplicates . downstream_methods . dtruncated_nbinom2 . epil2 . expandGrpVar . family_params . findReTrmClasses . fitTMB . fixef . formatVC . formfuns . formula.glmmTMB . getCapabilities . getGrpVar . getME.glmmTMB . getReStruc . getXReTrms . get_cor . glmmTMB . glmmTMBControl . glmmTMB_methods . gt_load . mkTMBStruc . nbinom2 . numFactor . omp_check . predict.glmmTMB . print.VarCorr.glmmTMB . profile.glmmTMB . ranef.glmmTMB . reexports . reinstalling . residuals.glmmTMB . sigma.glmmTMB . simulate.glmmTMB . simulate_new . splitForm . startParams . sub_specials . vcov.glmmTMB . weights.glmmTMB .
Some associated R codes: Anova.R . VarCorr.R . diagnose.R . effects.R . emmeans.R . enum.R . family.R . glmmTMB.R . lme4_utils_temp.R . methods.R . predict.R . profile.R . reformulas.R . utils.R . utils_covstruct.R . zzz.R . Full glmmTMB package functions and examples
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