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 |
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 |
Please use the canonical form https://CRAN.R-project.org/package=plsRcox to link to this page.