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.
| Version: |
2.1.6 |
| Depends: |
R (≥ 3.2.0) |
| Imports: |
methods, stats, graphics, Matrix, MASS, proxy, Rcpp (≥
0.11.0), nlme, nloptr |
| LinkingTo: |
Rcpp, RcppEigen |
| Suggests: |
maps, testthat, lme4, rsae, ff, rcdd, e1071, foreach |
| Published: |
2017-07-07 |
| Author: |
François Rousset [aut, cre, cph],
Jean-Baptiste Ferdy [aut, cph],
Alexandre Courtiol [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 |