plsRcox (1.7.4)

0 users

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 , 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.

Maintainer: Frederic Bertrand
Author(s): Frederic Bertrand [cre, aut] (<>), Myriam Maumy-Bertrand [aut] (<>)

License: GPL-3

Uses: kernlab, lars, mixOmics, pls, plsRglm, risksetROC, rms, survAUC, survcomp, survival, survivalROC, plsdof
Reverse suggests: plsRcox

Released about 1 year ago.

10 previous versions



  (0 votes)


  (0 votes)

Log in to vote.


No one has written a review of plsRcox yet. Want to be the first? Write one now.

Related packages:(20 best matches, based on common tags.)

Search for plsRcox on google, google scholar, r-help, r-devel.

Visit plsRcox on R Graphical Manual.