plsRcox: Partial Least Squares Regression for Cox Models and Related Techniques

Provides Partial least squares Regression and various regular, sparse or kernel, techniques for fitting Cox models in high dimensional settings.

Version: 1.7.2
Depends: R (≥ 2.4.0)
Imports: survival, plsRglm, lars, pls, kernlab, mixOmics, risksetROC, survcomp, survAUC, rms
Suggests: survivalROC, plsdof
Published: 2014-12-17
Author: Frederic Bertrand, Myriam Maumy-Bertrand, Nicolas Meyer.
Maintainer: Frederic Bertrand <frederic.bertrand at>
License: GPL-3
NeedsCompilation: no
Classification/MSC: 62N01, 62N02, 62N03, 62N99
Citation: plsRcox citation info
Materials: NEWS
In views: Survival
CRAN checks: plsRcox results


Reference manual: plsRcox.pdf
Package source: plsRcox_1.7.2.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X El Capitan binaries: r-release: not available
OS X Mavericks binaries: r-oldrel: plsRcox_1.7.2.tgz
Old sources: plsRcox archive

Reverse dependencies:

Reverse imports: biospear


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