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plsRcox  

Partial Least Squares Regression for Cox Models and Related Techniques
View on CRAN: Click here


Download and install plsRcox package within the R console
Install from CRAN:
install.packages("plsRcox")

Install from Github:
library("remotes")
install_github("cran/plsRcox")

Install by package version:
library("remotes")
install_version("plsRcox", "1.8.2")



Attach the package and use:
library("plsRcox")
Maintained by
Frederic Bertrand
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2011-01-15
Latest Update: 2022-11-29
Description:
Provides Partial least squares Regression and various regular, sparse or kernel, techniques for fitting Cox models in high dimensional settings , 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 , 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.
How to cite:
Frederic Bertrand (2011). plsRcox: Partial Least Squares Regression for Cox Models and Related Techniques. R package version 1.8.2, https://cran.r-project.org/web/packages/plsRcox. Accessed 07 Oct. 2026.
Previous versions and publish date:
(2026-07-09 06:42), 0.2.0 (2011-01-15 17:24), 0.7.0 (2012-03-30 16:40), 0.7.6 (2012-11-12 17:05), 0.9.999 (2014-03-12 07:23), 0.9 (2013-07-02 15:38), 1.0 (2014-06-28 18:54), 1.7.0 (2014-07-19 09:21), 1.7.2 (2014-12-17 16:18), 1.7.3.1 (2018-09-11 11:37), 1.7.3 (2018-06-03 00:10), 1.7.4 (2019-02-03 12:00), 1.7.6 (2021-03-19 06:20), 1.7.7 (2022-11-29 16:10), 1.8.0 (2025-09-14 07:10), 1.8.1 (2026-02-28 07:10)
Other packages that cited plsRcox R package
View plsRcox citation profile
Other R packages that plsRcox depends, imports, suggests or enhances
Complete documentation for plsRcox
Functions, R codes and Examples using the plsRcox R package
Some associated functions: DKplsRcox . DR_coxph . Xmicro.censure_compl_imp . coxDKpls2DR . coxDKplsDR . coxDKsplsDR . coxpls . coxpls2 . coxpls2DR . coxpls3 . coxpls3DR . coxplsDR . coxsplsDR . cv.autoplsRcox . cv.coxDKplsDR . cv.coxDKsplsDR . cv.coxpls . cv.coxplsDR . cv.coxsplsDR . cv.larsDR . cv.plsRcox . internal-plsRcox . larsDR_coxph . micro.censure . plsRcox-package . plsRcox . predict.plsRcoxmodel . print.plsRcoxmodel . print.summary.plsRcoxmodel . summary.plsRcoxmodel . 
Some associated R codes: DKplsRcox.R . DKplsRcoxmodel.default.R . DKplsRcoxmodel.formula.R . DR_coxph.R . coxDKpls2DR.R . coxDKpls2DR.default.R . coxDKpls2DR.formula.R . coxDKplsDR.R . coxDKplsDR.default.R . coxDKplsDR.formula.R . coxDKsplsDR.R . coxDKsplsDR.default.R . coxDKsplsDR.formula.R . coxpls.R . coxpls.default.R . coxpls.formula.R . coxpls2.R . coxpls2.default.R . coxpls2.formula.R . coxpls2DR.R . coxpls2DR.default.R . coxpls2DR.formula.R . coxpls3.R . coxpls3.default.R . coxpls3.formula.R . coxpls3DR.R . coxpls3DR.default.R . coxpls3DR.formula.R . coxplsDR.R . coxplsDR.default.R . coxplsDR.formula.R . coxsplsDR.R . coxsplsDR.default.R . coxsplsDR.formula.R . cv.autoplsRcox.R . cv.coxDKplsDR.R . cv.coxDKsplsDR.R . cv.coxpls.R . cv.coxplsDR.R . cv.coxsplsDR.R . cv.larsDR.R . cv.plsRcox.R . datatsets.R . internal-plsRcox.R . larsDR_coxph.R . larsDR_coxph.default.R . larsDR_coxph.formula.R . plsRcox-package.R . plsRcox.R . plsRcoxmodel.default.R . plsRcoxmodel.formula.R . predict.plsRcoxmodel.R . print.plsRcoxmodel.R . print.summary.plsRcoxmodel.R . summary.plsRcoxmodel.R .  Full plsRcox package functions and examples
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