Routines for GAMs and other generalized ridge regression with multiple smoothing parameter selection by GCV or UBRE/AIC. Also GAMMs by REML or PQL. Includes a gam() function.
| Version: | 1.3-31 |
| Priority: | recommended |
| Depends: | R (≥ 2.3.0) |
| Imports: | graphics, stats |
| Suggests: | nlme (≥ 3.1-64), MASS (≥ 7.2-2) |
| Author: | Simon Wood |
| Maintainer: | Simon Wood <simon.wood at r-project.org> |
| License: | GPL (≥2) |
| In views: | Bayesian, Environmetrics, SocialSciences |
| CRAN checks: | mgcv results |
Downloads:
| Package source: | mgcv_1.3-31.tar.gz |
| MacOS X binary: | mgcv_1.3-31.tgz |
| Windows binary: | mgcv_1.3-31.zip |
| Reference manual: | mgcv.pdf |
| News/ChangeLog: | ChangeLog |
| Old sources: | mgcv archive |