Package: spaMM
Type: Package
Title: Mixed Models, Particularly Spatial GLMMs
Encoding: UTF-8
Version: 1.7.2
Date: 2016-01-23
Authors@R: c(person("François", "Rousset", role = c("aut", "cre", "cph"),
                     email = "francois.rousset@univ-montp2.fr"),
              person("Jean-Baptiste", "Ferdy", role = c("aut","cph")),
              person("Alexandre", "Courtiol", role = "ctb"),
              person("GSL authors", role = "ctb", comment = "src/gsl_bessel.*")
              )
Maintainer: François Rousset <francois.rousset@univ-montp2.fr>
Imports: methods, stats, graphics, Matrix, MASS, lpSolveAPI (>=
        5.5.0.14), proxy, geometry, Rcpp (>= 0.11.0), nlme, mvtnorm
LinkingTo: Rcpp, RcppEigen
Suggests: maps, testthat, lme4, rsae, ff, rasterVis, rgdal
Depends: R (>= 3.0.0)
NeedsCompilation: yes
Description: 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). Heteroscedasticity 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.  
License: CeCILL-2
URL: http://www.r-project.org,
        http://kimura.univ-montp2.fr/~rousset/spaMM.htm
Packaged: 2016-01-25 08:24:33 UTC; rousset
Author: François Rousset [aut, cre, cph],
  Jean-Baptiste Ferdy [aut, cph],
  Alexandre Courtiol [ctb],
  GSL authors [ctb] (src/gsl_bessel.*)
Repository: CRAN
Date/Publication: 2016-01-26 00:11:39
