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). 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] (<https://orcid.org/0000-0003-4670-0371>), Jean-Baptiste Ferdy [aut, cph], Alexandre Courtiol [aut] (<https://orcid.org/0000-0003-0637-2959>), GSL authors [ctb] (src/gsl_bessel.*)
MaintainerFrançois Rousset <[email protected]>
LicenseCeCILL-2
Version2.5.11
URL https://www.r-project.org http://kimura.univ-montp2.fr/~rousset/spaMM.htm
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("spaMM")

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spaMM documentation built on Nov. 20, 2018, 1:04 a.m.