spaMM (version 4.4.16)

Mixed-Effect Models, with or without Spatial Random Effects

Description

Inference based on models with or without spatially-correlated random effects, multivariate responses, or non-Gaussian random effects (e.g., Beta). Variation in residual variance (heteroscedasticity) can itself be represented by a mixed-effect model. Both classical geostatistical models (Rousset and Ferdy 2014 ), and Markov random field models on irregular grids (as considered in the 'INLA' package, ), can be fitted, with distinct computational procedures exploiting the sparse matrix representations for the latter case and other autoregressive models. Laplace approximations are used for likelihood or restricted likelihood. Penalized quasi-likelihood and other variants discussed in the h-likelihood literature (Lee and Nelder 2001 ) are also implemented.

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Install

install.packages('spaMM')

Monthly Downloads

2,426

Version

4.4.16

License

CeCILL-2

Maintainer

Last Published

December 20th, 2023

Functions in spaMM (4.4.16)