spaMM (1.6.2)

Mixed Models, Particularly Spatial GLMMs.

Inference in mixed models, including GLMMs with spatial correlations and models with non-Gaussian random effects (e.g., Beta Binomial, or negative-binomial mixed models). Heteroskedasticity can further be fitted by a linear model. The algorithms are currently various Laplace approximations methods for ML or REML, in particular h-likelihood and penalized-likelihood methods.

Maintainer: Franois Rousset
Author(s): Franois Rousset [aut, cre, cph], Jean-Baptiste Ferdy [aut, cph], GSL authors [ctb] (src/gsl_bessel.*)

License: CeCILL-2

Uses: geometry, lpSolveAPI, MASS, Matrix, mvtnorm, nlme, proxy, Rcpp, ff, lme4, maps, rgdal, testthat, rasterVis, rsae

Released about 4 years ago.