spaMM

Mixed-Effect Models, Particularly Spatial Models

Inference in mixed-effect models, including generalized linear mixed models with spatial correlations and models with non-Gaussian random effects (e.g., Beta-Binomial). 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.

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Description file content

Package
spaMM
Type
Package
Title
Mixed-Effect Models, Particularly Spatial Models
Encoding
UTF-8
Version
2.4.8
Date
2018-04-14
Maintainer
François Rousset
Imports
methods, stats, graphics, Matrix, MASS, proxy, Rcpp (>= 0.12.10), nlme, nloptr, pbapply
LinkingTo
Rcpp, RcppEigen
Suggests
maps, testthat, lme4, rsae, rcdd, e1071, pedigreemm, minqa
Depends
R (>= 3.2.0)
NeedsCompilation
yes
Description
Inference in mixed-effect models, including generalized linear mixed models with spatial correlations and models with non-Gaussian random effects (e.g., Beta-Binomial). 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.
License
CeCILL-2
URL
RoxygenNote
6.0.1
ByteCompile
true
Author
François Rousset [aut, cre, cph], Jean-Baptiste Ferdy [aut, cph], Alexandre Courtiol [aut], GSL authors [ctb] (src/gsl_bessel.*)
Packaged
2018-04-14 09:55:47 UTC; Francois.rousset
Repository
CRAN
Date/Publication
2018-04-14 10:33:02 UTC

install.packages('spaMM')

2.4.8

6 days ago

https://www.r-project.org

François Rousset

CeCILL-2

Depends on

R (>= 3.2.0)

Imports

methods, stats, graphics, Matrix, MASS, proxy, Rcpp (>= 0.12.10), nlme, nloptr, pbapply

Suggests

maps, testthat, lme4, rsae, rcdd, e1071, pedigreemm, minqa

Discussions