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 <doi:10.1093/bioinformatics/btu660>, Bastien, P., Bertrand, F., Meyer N., Maumy-Bertrand, M. (2015), Deviance residuals-based sparse PLS and sparse kernel PLS regression for censored data, Bioinformatics, 31(3):397-404. Cross validation criteria were studied in <doi:10.48550/arXiv.1810.02962>, Bertrand, F., Bastien, Ph. and Maumy-Bertrand, M. (2018), Cross validating extensions of kernel, sparse or regular partial least squares regression models to censored data.

Version:	1.8.1
Depends:	R (≥ 2.4.0)
Imports:	survival, plsRglm, lars, pls, kernlab, mixOmics, risksetROC, survcomp, survAUC, rms
Suggests:	survivalROC, plsdof, testthat (≥ 3.0.0)
Published:	2026-02-28
DOI:	10.32614/CRAN.package.plsRcox
Author:	Frederic Bertrand [cre, aut], Myriam Maumy-Bertrand [aut]
Maintainer:	Frederic Bertrand <frederic.bertrand at lecnam.net>
BugReports:	https://github.com/fbertran/plsRcox/issues
License:	GPL-3
URL:	https://fbertran.github.io/plsRcox/, https://github.com/fbertran/plsRcox
NeedsCompilation:	no
Classification/MSC:	62N01, 62N02, 62N03, 62N99
Citation:	plsRcox citation info
Materials:	README
In views:	Survival
CRAN checks:	plsRcox results

Documentation:

Reference manual:

plsRcox.html , plsRcox.pdf

Downloads:

Package source:	plsRcox_1.8.1.tar.gz
Windows binaries:	r-devel: plsRcox_1.8.1.zip, r-release: plsRcox_1.8.1.zip, r-oldrel: plsRcox_1.8.1.zip
macOS binaries:	r-release (arm64): plsRcox_1.8.0.tgz, r-oldrel (arm64): plsRcox_1.8.0.tgz, r-release (x86_64): plsRcox_1.8.1.tgz, r-oldrel (x86_64): plsRcox_1.8.1.tgz
Old sources:	plsRcox archive

Reverse dependencies:

Reverse imports:	biospear, E2E, plasma
Reverse suggests:	bigPLScox, plsRglm

Linking:

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