[cre, aut],
Myriam Maumy-Bertrand [aut]Provides (weighted) Partial least squares Regression for generalized linear models and repeated k-fold cross-validation of such models using various criteria. It allows for missing data in the explanatory variables. Bootstrap confidence intervals constructions are also available.
| Version: | 1.2.3 |
| Depends: | R (≥ 2.4.0) |
| Imports: | mvtnorm, boot, bipartite, car |
| Suggests: | MASS, plsdof, R.rsp, chemometrics, plsdepot |
| Enhances: | pls |
| Published: | 2018-06-11 |
| Author: | Frederic Bertrand [cre, aut],
Myriam Maumy-Bertrand [aut] |
| Maintainer: | Frederic Bertrand <frederic.bertrand at math.unistra.fr> |
| License: | GPL-3 |
| URL: | http://www-irma.u-strasbg.fr/~fbertran/ |
| NeedsCompilation: | no |
| Classification/MSC: | 62J12, 62J99 |
| Citation: | plsRglm citation info |
| Materials: | NEWS |
| CRAN checks: | plsRglm results |
| Reference manual: | plsRglm.pdf |
| Vignettes: |
plsRglm: Manual plsRglm: Algorithmic insights and applications |
| Package source: | plsRglm_1.2.3.tar.gz |
| Windows binaries: | r-devel: plsRglm_1.2.3.zip, r-release: plsRglm_1.2.3.zip, r-oldrel: plsRglm_1.2.3.zip |
| OS X binaries: | r-release: plsRglm_1.2.3.tgz, r-oldrel: plsRglm_1.2.3.tgz |
| Old sources: | plsRglm archive |
| Reverse imports: | plsRbeta, plsRcox |
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