Inference in mixed-effect models, including generalized linear mixed models with spatial correlations and models with non-Gaussian random effects (e.g., Beta Binomial, or negative-binomial mixed models). Variation in residual variance is handled and can be modelled as a linear model. The algorithms are currently various Laplace approximations methods for likelihood or restricted likelihood, in particular h-likelihood and penalized-likelihood methods.

Documentation

Manual: spaMM.pdf
Vignette: None available.

Maintainer: François Rousset <francois.rousset at umontpellier.fr>

Author(s): François Rousset*, Jean-Baptiste Ferdy*, Alexandre Courtiol*, GSL authors* (src/gsl_bessel.*)

Install package and any missing dependencies by running this line in your R console:

install.packages("spaMM")

Depends R (>= 3.2.0)
Imports methods, stats, graphics, Matrix, MASS, proxy, Rcpp(>=0.11.0), nlme, nloptr
Suggests maps, testthat, lme4, rsae, ff, rcdd, e1071, foreach
Enhances
Linking to Rcpp, RcppEigen
Reverse
depends
Reverse
imports
blackbox, Infusion, IsoriX
Reverse
suggests
Reverse
enhances
Reverse
linking to

Package spaMM
Materials
URL https://www.r-project.org http://kimura.univ-montp2.fr/~rousset/spaMM.htm
Task Views Spatial
Version 2.1.0
Published 2017-05-25
License CeCILL-2
BugReports
SystemRequirements
NeedsCompilation yes
Citation
CRAN checks spaMM check results
Package source spaMM_2.1.0.tar.gz