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.
Total
27,250
Last month
2,538
Last week
1,972
Average per day
85
Daily downloads
Total downloads
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
- 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
