[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: | 1.2.5 |
| Depends: | R (≥ 2.10) |
| Imports: | mvtnorm, boot, bipartite, car, MASS |
| Suggests: | plsdof, R.rsp, chemometrics, plsdepot |
| Enhances: | pls |
| Published: | 2019-02-02 |
| Author: | Frederic Bertrand
[cre, aut],
Myriam Maumy-Bertrand
[aut] |
| Maintainer: | Frederic Bertrand <frederic.bertrand at math.unistra.fr> |
| BugReports: | https://github.com/fbertran/plsRglm/issues |
| License: | GPL-3 |
| URL: | http://www-irma.u-strasbg.fr/~fbertran/, https://github.com/fbertran/plsRglm |
| NeedsCompilation: | no |
| Classification/MSC: | 62J12, 62J99 |
| Citation: | plsRglm citation info |
| Materials: | NEWS |
| In views: | MissingData |
| CRAN checks: | plsRglm results |
| Reference manual: | plsRglm.pdf |
| Vignettes: |
plsRglm: Manual plsRglm: Algorithmic insights and applications |
| Package source: | plsRglm_1.2.5.tar.gz |
| Windows binaries: | r-devel: plsRglm_1.2.5.zip, r-release: plsRglm_1.2.5.zip, r-oldrel: plsRglm_1.2.5.zip |
| macOS binaries: | r-release: plsRglm_1.2.5.tgz, r-oldrel: plsRglm_1.2.5.tgz |
| Old sources: | plsRglm archive |
| Reverse imports: | plsRbeta, plsRcox |
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