spaMM: Mixed-Effect Models, Particularly Spatial Models
Version 2.4.35

Inference in mixed-effect models, including generalized linear mixed models with spatial correlations and models with non-Gaussian random effects (e.g., Beta). Variation in residual variance (heteroscedasticity) can itself be represented by a generalized linear mixed model. Various approximations of likelihood or restricted likelihood are implemented, in particular h-likelihood (Lee and Nelder 2001 ) and Laplace approximation.

Getting started

Package details

AuthorFrançois Rousset [aut, cre, cph], Jean-Baptiste Ferdy [aut, cph], Alexandre Courtiol [aut], GSL authors [ctb] (src/gsl_bessel.*)
Date of publication2018-05-19 21:02:41 UTC
MaintainerFrançois Rousset <[email protected]>
Package repositoryView on CRAN
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spaMM documentation built on May 20, 2018, 1:04 a.m.