Routines for GAMs and other generalized ridge regression with multiple smoothing parameter selection by GCV, REML or UBRE/AIC. Also GAMMs by REML or PQL. Includes a gam() function.
| Version: | 1.6-0 |
| Priority: | recommended |
| Depends: | R (≥ 2.3.0) |
| Imports: | graphics, stats, nlme, Matrix |
| Suggests: | nlme (≥ 3.1-64), splines, Matrix |
| Published: | 2009-11-18 |
| Author: | Simon Wood |
| Maintainer: | Simon Wood <simon.wood at r-project.org> |
| License: | GPL (≥ 2) |
| Citation: | mgcv citation info |
| In views: | Bayesian, Environmetrics, SocialSciences |
| CRAN checks: | mgcv results |
| Package source: | mgcv_1.6-0.tar.gz |
| MacOS X binary: | mgcv_1.6-0.tgz |
| Windows binary: | mgcv_1.6-0.zip |
| Reference manual: | mgcv.pdf |
| News/ChangeLog: | ChangeLog |
| Old sources: | mgcv archive |
| Reverse depends: | COZIGAM, DSpat, Haplin, JointGLM, JointModeling, RSurvey, STAR, StatDA, TSA, diseasemapping, fRegression, gamm4, labdsv, modTempEff, paltran, pcurve, pendensity, season, spatclus, spatstat, tripEstimation, tsDyn |
| Reverse suggests: | BiodiversityR, MatchIt, RLRsim, Rcmdr, RcmdrPlugin.HH, RcmdrPlugin.IPSUR, Zelig, caret, granova, mediation, reldist, simex, vegan |