plsRcox (1.7.4)

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Partial Least Squares Regression for Cox Models and Related Techniques.

http://www-irma.u-strasbg.fr/~fbertran/
https://github.com/fbertran/plsRcox
http://cran.r-project.org/web/packages/plsRcox

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] (<https://orcid.org/0000-0002-0837-8281>), Myriam Maumy-Bertrand [aut] (<https://orcid.org/0000-0002-4615-1512>)

License: GPL-3

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

Released 7 months ago.


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