spaMM: Mixed-Effect Models, Particularly Spatial Models

Inference based on mixed-effect models, including generalized linear mixed models with spatial correlations and models with non-Gaussian random effects (e.g., Beta). Both classical geostatistical models, and Markov random field models on irregular grids, can be fitted. 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 <doi:10.1093/biomet/88.4.987>) 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.*)
MaintainerFrançois Rousset <[email protected]>
Package repositoryView on CRAN
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spaMM documentation built on Feb. 12, 2020, 5:58 p.m.