[cre, aut],
Myriam Maumy-Bertrand [aut]Provides Partial least squares Regression and various regular, sparse or kernel, techniques for fitting Cox models in high dimensional settings.
| Version: | 1.7.3.1 |
| Depends: | R (≥ 2.10) |
| Imports: | survival, plsRglm, lars, pls, kernlab, mixOmics, risksetROC, survcomp, survAUC, rms |
| Suggests: | survivalROC, plsdof |
| Published: | 2018-09-11 |
| 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: | 62N01, 62N02, 62N03, 62N99 |
| Citation: | plsRcox citation info |
| Materials: | NEWS |
| CRAN checks: | plsRcox results |
| Reference manual: | plsRcox.pdf |
| Package source: | plsRcox_1.7.3.1.tar.gz |
| Windows binaries: | r-devel: plsRcox_1.7.3.1.zip, r-release: plsRcox_1.7.3.1.zip, r-oldrel: plsRcox_1.7.3.1.zip |
| OS X binaries: | r-release: plsRcox_1.7.3.1.tgz, r-oldrel: plsRcox_1.7.3.1.tgz |
| Old sources: | plsRcox archive |
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