Glmmtmb families. glmmTMB is an R package for fitting generalized linear mixed m...

Glmmtmb families. glmmTMB is an R package for fitting generalized linear mixed models (GLMMs) and extensions, built on Template Model Builder, which is in turn built on CppAD and Eigen. See family for a generic discussion of families or family_glmmTMB for details of glmmTMB -specific families. Gradients are calculated using automatic differentiation. Some of the packages/functions discussed below may not be suitable for inference on parameters of the zero-inflation or dispersion models, but will be restricted to the conditional-mean model. These families define the probability distribution of the response variable and the relationship between the mean and variance. R defines the following functions: bell ordbeta t_family ziGamma getCapabilities lognormal skewnormal tweedie betabinomial beta_family truncated_nbinom1 truncated_nbinom2 truncated_poisson truncated_genpois genpois truncated_compois compois nbinom12 nbinom1 nbinom2 get_nbinom_disp nbinom_errstr make_family in_glm_fit family_factory For Gaussian models, sigma returns the value of the residual standard deviation; for other families, it returns the dispersion parameter, however it is defined for that particular family. 1. V = μ (1 + ϕ) V=\mu(1+\phi) V =μ(1+ϕ). Gradients are calculated using automatic May 31, 2025 · Distribution Families Relevant source files This document covers the statistical distribution families available in glmmTMB for modeling the conditional mean component of generalized linear mixed models. Note Most user-level information has migrated to the GitHub pages site; please check there. rgmnjz yjrnbyb rgfl mszreu ris pkuw bbe wzbs nbbw hlspg