This package provides Partial least squares Regression for (weighted) beta regression 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: | 0.1.7 |
| Depends: | R (≥ 2.4.0), plsRglm |
| Imports: | mvtnorm, boot, Formula, plsdof |
| Suggests: | pls, MASS, betareg |
| Enhances: | plsRglm |
| Published: | 2012-08-27 |
| Author: | Frederic Bertrand, Myriam Maumy-Bertrand, Nicolas Meyer. |
| Maintainer: | Frederic Bertrand <frederic.bertrand at math.unistra.fr> |
| License: | GPL-3 (see file LICENCE) |
| URL: | http://www-irma.u-strasbg.fr/~fbertran/ |
| NeedsCompilation: | no |
| Classification/MSC: | 62J12, 62J99 |
| Citation: | plsRbeta citation info |
| CRAN checks: | plsRbeta results |
| Package source: | plsRbeta_0.1.7.tar.gz |
| MacOS X binary: | plsRbeta_0.1.7.tgz |
| Windows binary: | plsRbeta_0.1.7.zip |
| Reference manual: | plsRbeta.pdf |
| News/ChangeLog: | NEWS |
| Old sources: | plsRbeta archive |