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.
Version: | 1.8-30 |
Priority: | recommended |
Depends: | R (≥ 2.14.0), nlme (≥ 3.1-64) |
Imports: | methods, stats, graphics, Matrix, splines, utils |
Suggests: | parallel, survival, MASS |
Published: | 2019-10-24 |
Author: | Simon Wood |
Maintainer: | Simon Wood <simon.wood at r-project.org> |
License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
NeedsCompilation: | yes |
Citation: | mgcv citation info |
Materials: | ChangeLog |
In views: | Bayesian, Econometrics, Environmetrics, SocialSciences |
CRAN checks: | mgcv results |
Reference manual: | mgcv.pdf |
Package source: | mgcv_1.8-30.tar.gz |
Windows binaries: | r-devel: mgcv_1.8-30.zip, r-release: mgcv_1.8-30.zip, r-oldrel: mgcv_1.8-30.zip |
OS X binaries: | r-release: mgcv_1.8-29.tgz, r-oldrel: mgcv_1.8-29.tgz |
Old sources: | mgcv archive |
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