spaMM: Mixed-Effect Models, Particularly Spatial Models
Version 2.1.6

Inference in mixed-effect models, including generalized linear mixed models with spatial correlations and models with non-Gaussian random effects (e.g., Beta Binomial, or negative-binomial mixed models). Variation in residual variance is handled and can be modelled as a linear model. The algorithms are currently various Laplace approximations methods for likelihood or restricted likelihood, in particular h-likelihood and penalized-likelihood methods.

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 publication2017-07-07 05:44:19 UTC
MaintainerFrançois Rousset <>
Package repositoryView on CRAN
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spaMM documentation built on July 7, 2017, 9:02 a.m.