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: 1.7.3.1
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 ORCID iD [cre, aut], Myriam Maumy-Bertrand ORCID iD [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

Downloads:

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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