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.">

plsRcox: Partial Least Squares Regression for Cox Models and Related Techniques (original) (raw)

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: 1.7.7
Depends: R (≥ 2.4.0)
Imports: survival, plsRglm, lars, pls, kernlab, mixOmics, risksetROC, survcomp, survAUC, rms
Suggests: survivalROC, plsdof
Published: 2022-11-29
DOI: 10.32614/CRAN.package.plsRcox
Author: Frederic Bertrand ORCID iD [cre, aut], Myriam Maumy-BertrandORCID iD [aut]
Maintainer: Frederic Bertrand <frederic.bertrand at utt.fr>
BugReports: https://github.com/fbertran/plsRcox/issues/
License: GPL-3
URL: http://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

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