r-plsrcox 1.7.7
Propagated dependencies: r-survival@3.7-0 r-survcomp@1.56.0 r-survauc@1.3-0 r-rms@6.8-2 r-risksetroc@1.0.4.1 r-plsrglm@1.5.1 r-pls@2.8-5 r-mixomics@6.30.0 r-lars@1.3 r-kernlab@0.9-33
Channel: guix-cran
Home page: http://fbertran.github.io/plsRcox/
Licenses: GPL 3
Synopsis: Partial Least Squares Regression for Cox Models and Related Techniques
Description:
This package 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.
Total results: 1