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.

Package details

AuthorMollie 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] (<>)
MaintainerMollie Brooks <>
Package repositoryView on CRAN
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glmmTMB documentation built on Oct. 7, 2023, 5:07 p.m.