Suggests: bipartite, knitr, markdown, plotrix, pls, plsdof, prettydoc,
person(given = "Myriam", family= "Maumy-Bertrand", role = c("aut"), email = "myriam.maumy-bertrand@utt.fr", comment = c(ORCID = "0000-0002-4615-1512")))

Imports: boot, plsRglm, lars, survival, pls
Suggests: glcoxph, survivalROC, plsRglm, lars, survival, pls
Title: Partial least squares Regression for Cox models and related
Description: This packages provides Partial least squares Regression
and various techniques for fitting Cox models in high
dimensionnal settings. It allows for Kfold crossvalidation of
such models using various criteria, missing data in the
eXplanatory variables. Bootstrap confidence intervals

Imports: boot, plsRglm, lars, survival, pls, spls, kernlab
Suggests: glcoxph, survivalROC, plsRglm, lars, survival, pls, spls,

Imports: boot, plsRglm, lars, survival, pls, kernlab, mixOmics
Description: This packages provides Partial least squares Regression and various regular, sparse or kernel, techniques for fitting Cox models in high dimensional settings.

Imports: boot, plsRglm, lars, survival, pls, spls, kernlab, mixOmics

Imports: survival, plsRglm, lars, pls, kernlab, mixOmics, risksetROC,

Title: Partial Least Squares Regression for Cox Models and Related
Description: Provides Partial least squares Regression and various regular, sparse or kernel, techniques for fitting Cox models in high dimensional settings.

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.