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spaMM (version 3.1.2)

Mixed-Effect Models, Particularly Spatial Models

Description

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 ) and Laplace approximation.

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Install

install.packages('spaMM')

Monthly Downloads

2,091

Version

3.1.2

License

CeCILL-2

Maintainer

Last Published

February 12th, 2020

Functions in spaMM (3.1.2)