Package: plsRcox
Version: 1.8.0
Date: 2025-09-10
Depends: R (>= 2.4.0)
biocViews:
Imports: survival, plsRglm, lars, pls, kernlab, mixOmics, risksetROC,
        survcomp, survAUC, rms
Enhances:
Suggests: survivalROC, plsdof, testthat (>= 3.0.0)
Title: Partial Least Squares Regression for Cox Models and Related
        Techniques
Authors@R: c(
	person(given = "Frederic", family= "Bertrand", role = c("cre", "aut"), email = "frederic.bertrand@lecnam.net", comment = c(ORCID = "0000-0002-0837-8281")),
	person(given = "Myriam", family= "Maumy-Bertrand", role = c("aut"), email = "myriam.maumy@ehesp.fr", comment = c(ORCID = "0000-0002-4615-1512")))
Author: Frederic Bertrand [cre, aut] (ORCID:
    <https://orcid.org/0000-0002-0837-8281>),
  Myriam Maumy-Bertrand [aut] (ORCID:
    <https://orcid.org/0000-0002-4615-1512>)
Maintainer: Frederic Bertrand <frederic.bertrand@lecnam.net>
Description: 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.
License: GPL-3
Encoding: UTF-8
URL: https://fbertran.github.io/plsRcox/,
        https://github.com/fbertran/plsRcox/
BugReports: https://github.com/fbertran/plsRcox/issues/
Classification/MSC: 62N01, 62N02, 62N03, 62N99
RoxygenNote: 7.3.3
Config/testthat/edition: 3
NeedsCompilation: no
Packaged: 2025-09-13 22:36:58 UTC; bertran7
Repository: CRAN
Date/Publication: 2025-09-14 05:10:10 UTC
Built: R 4.5.2; ; 2025-11-15 16:44:10 UTC; windows
