Description: Generalized additive (mixed) models, some of their extensions and other generalized ridge regression with multiple smoothing parameter estimation by (Restricted) Marginal Likelihood, Generalized Cross Validation and similar, or using iterated nested Laplace approximation for fully Bayesian inference. See Wood (2017) <doi:10.1201/9781315370279> for an overview. Includes a gam() function, a wide variety of smoothers, 'JAGS' support and distributions beyond the exponential family.
Packaged: 2019-03-21 08:56:32 UTC; sw283
Priority: recommended
LazyLoad: yes
License: GPL (>= 2)
Title: Mixed GAM Computation Vehicle with Automatic Smoothness Estimation
Imports: methods, stats, graphics, Matrix, splines, utils
ByteCompile: yes
Maintainer: Simon Wood <simon.wood@r-project.org>
Repository: CRAN
Version: 1.8-28
Suggests: parallel, survival, MASS
Author: Simon Wood <simon.wood@r-project.org>
NeedsCompilation: yes
Package: mgcv
Depends: R (>= 2.14.0), nlme (>= 3.1-64)
Date/Publication: 2019-03-21 11:40:07 UTC
