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.

Version: 2.5.11
Depends: R (≥ 3.2.0)
Imports: methods, stats, graphics, Matrix, MASS, proxy, Rcpp (≥ 0.12.10), nlme, nloptr, pbapply
LinkingTo: Rcpp, RcppEigen
Suggests: maps, testthat, lme4, rsae, rcdd, pedigreemm, minqa, lpSolveAPI (≥ 5.5.0.14), foreach, multilevel, Infusion (≥ 1.3.0), IsoriX (≥ 0.8.1), blackbox (≥ 1.1.25), gmp
Published: 2018-11-19
Author: François Rousset ORCID iD [aut, cre, cph], Jean-Baptiste Ferdy [aut, cph], Alexandre Courtiol ORCID iD [aut], GSL authors [ctb] (src/gsl_bessel.*)
Maintainer: François Rousset <francois.rousset at umontpellier.fr>
License: CeCILL-2
URL: https://www.r-project.org, http://kimura.univ-montp2.fr/~rousset/spaMM.htm
NeedsCompilation: yes
Citation: spaMM citation info
Materials: NEWS
In views: Spatial
CRAN checks: spaMM results

Downloads:

Reference manual: spaMM.pdf
Package source: spaMM_2.5.11.tar.gz
Windows binaries: r-devel: spaMM_2.5.11.zip, r-release: spaMM_2.5.11.zip, r-oldrel: spaMM_2.5.11.zip
OS X binaries: r-release: spaMM_2.5.11.tgz, r-oldrel: spaMM_2.5.11.tgz
Old sources: spaMM archive

Reverse dependencies:

Reverse imports: blackbox, Infusion, IsoriX

Linking:

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