glmmTMB
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.
- Version1.1.10
- R version≥ 3.6.0
- LicenseAGPL-3
- Needs compilation?Yes
- glmmTMB citation info
- Last release09/26/2024
Documentation
- VignetteCovariance structures with glmmTMB
- Vignettesource
- VignetteR code
- VignetteHacking glmmTMB
- Vignettesource
- VignetteR code
- VignettePost-hoc MCMC with glmmTMB
- Vignettesource
- VignetteR code
- VignetteMiscellaneous examples
- Vignettesource
- VignetteR code
- VignetteParallel optimization using glmmTMB
- Vignettesource
- VignetteR code
- VignettePriors in glmmTMB
- Vignettesource
- VignetteR code
- VignetteSimulate from a fitted glmmTMB model or a formula
- Vignettesource
- VignetteR code
- VignetteTroubleshooting with glmmTMB
- Vignettesource
- VignetteR code
- Vignettebasic examples of glmmTMB usage
- Vignettesource
- VignetteR code
- VignetteModel evaluation
- Vignettesource
- VignetteR code
- MaterialNEWS
- In ViewsEnvironmetrics
- In ViewsMixedModels
Team
Mollie Brooks
Ben Bolker
Kasper Kristensen
Show author detailsRolesAuthorMartin Maechler
Arni Magnusson
Maeve McGillycuddy
Show author detailsRolesContributorHans Skaug
Anders Nielsen
Casper Berg
Koen van Bentham
Show author detailsRolesAuthorNafis Sadat
Daniel Lüdecke
Russ Lenth
Show author detailsRolesContributorJoseph O'Brien
Charles J. Geyer
Show author detailsRolesContributorMikael Jagan
Brenton Wiernik
Daniel B. Stouffer
Michael Agronah
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- Depends1 package
- Imports8 packages
- Suggests34 packages
- Linking To2 packages
- Reverse Depends2 packages
- Reverse Imports12 packages
- Reverse Suggests33 packages
- Reverse Enhances2 packages