This package provides Partial least squares Regression for generalized linear models and kfold crossvalidation of such models using various criteria. It allows for missing data in the eXplanatory variables. Bootstrap confidence intervals constructions are also available.
| Version: | 0.7.6 |
| Depends: | R (≥ 2.4.0) |
| Imports: | mvtnorm, boot |
| Suggests: | MASS, plsdof |
| Enhances: | pls |
| Published: | 2011-11-23 |
| Author: | Frederic Bertrand, Nicolas Meyer, Myriam Maumy-Bertrand. |
| Maintainer: | Frederic Bertrand <frederic.bertrand at math.unistra.fr> |
| License: | GPL-3 |
| URL: | http://www-irma.u-strasbg.fr/~fbertran/ |
| Classification/MSC: | 62J12, 62J99 |
| Citation: | plsRglm citation info |
| In views: | ChemPhys, Psychometrics |
| CRAN checks: | plsRglm results |
| Package source: | plsRglm_0.7.6.tar.gz |
| MacOS X binary: | plsRglm_0.7.6.tgz |
| Windows binary: | plsRglm_0.7.6.zip |
| Reference manual: | plsRglm.pdf |
| News/ChangeLog: | NEWS |
| Old sources: | plsRglm archive |
| Reverse depends: | plsRbeta |
| Reverse imports: | plsRcox |
| Reverse suggests: | plsRcox |
| Reverse enhances: | plsRbeta |