Partial Least Squares Regression for Cox Models and Related Techniques
Fitting a Direct Kernel PLS model on the (Deviance) Residuals
Fitting a Direct Kernel PLS model on the (Deviance) Residuals
Fitting a Direct Kernel sPLSR model on the (Deviance) Residuals
Fitting a Cox-Model on PLSR components
Fitting a Cox-Model on PLSR components
Fitting a PLSR model on the (Deviance) Residuals
Fitting a Cox-Model on PLSR components
Fitting a PLSR model on the (Deviance) Residuals
Fitting a PLSR model on the (Deviance) Residuals
Fitting a sPLSR model on the (Deviance) Residuals
Cross-validating an autoplsRcox-Model
Cross-validating a DKplsDR-Model
Cross-validating a DKsplsDR-Model
Cross-validating a Cox-Model fitted on PLSR components
Cross-validating a plsDR-Model
Cross-validating a splsDR-Model
Cross-validating a larsDR-Model
Cross-validating a plsRcox-Model
Partial least squares Regression generalized linear models
(Deviance) Residuals Computation
Internal plsRcox functions
Fitting a LASSO/LARS model on the (Deviance) Residuals
plsRcox-package: Partial Least Squares Regression for Cox Models and R...
Partial least squares Regression generalized linear models
Print method for plsRcox models
Print method for plsRcox models
Print method for summaries of plsRcox models
Summary method for plsRcox models
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.
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