Package: plsRcox
Version: 1.7.6
Date: 2021-03-18
Depends: R (>= 2.4.0)
biocViews:
Imports: survival, plsRglm, lars, pls, kernlab, mixOmics, risksetROC,
        survcomp, survAUC, rms
Enhances:
Suggests: survivalROC, plsdof
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@math.unistra.fr", comment = c(ORCID = "0000-0002-0837-8281")),
	person(given = "Myriam", family= "Maumy-Bertrand", role = c("aut"), email = "myriam.maumy-bertrand@math.unistra.fr", comment = c(ORCID = "0000-0002-4615-1512")))
Author: Frederic Bertrand [cre, aut] (<https://orcid.org/0000-0002-0837-8281>),
  Myriam Maumy-Bertrand [aut] (<https://orcid.org/0000-0002-4615-1512>)
Maintainer: Frederic Bertrand <frederic.bertrand@math.unistra.fr>
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 <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: http://fbertran.github.io/plsRcox/,
        https://github.com/fbertran/plsRcox/
BugReports: https://github.com/fbertran/plsRcox/issues/
Classification/MSC: 62N01, 62N02, 62N03, 62N99
RoxygenNote: 7.1.1
NeedsCompilation: no
Packaged: 2021-03-18 14:49:18 UTC; fbertran
Repository: CRAN
Date/Publication: 2021-03-19 05:20:02 UTC
Built: R 4.0.2; ; 2021-03-19 11:26:16 UTC; unix
