View source: R/print.summary.plsRcoxmodel.R
print.summary.plsRcoxmodel | R Documentation |
This function provides a print method for the class
"summary.plsRcoxmodel"
## S3 method for class 'summary.plsRcoxmodel' print(x, ...)
x |
an object of the class |
... |
not used |
language |
call of the model |
Frédéric Bertrand
frederic.bertrand@utt.fr
http://www-irma.u-strasbg.fr/~fbertran/
plsRcox, Cox-Models in a high dimensional setting in R, Frederic
Bertrand, Philippe Bastien, Nicolas Meyer and Myriam Maumy-Bertrand (2014).
Proceedings of User2014!, Los Angeles, page 152.
Deviance residuals-based sparse PLS and sparse kernel PLS regression for censored data, Philippe Bastien, Frederic Bertrand, Nicolas Meyer and Myriam Maumy-Bertrand (2015), Bioinformatics, 31(3):397-404, doi:10.1093/bioinformatics/btu660.
print
and summary
data(micro.censure) data(Xmicro.censure_compl_imp) X_train_micro <- apply((as.matrix(Xmicro.censure_compl_imp)),FUN="as.numeric",MARGIN=2)[1:80,] Y_train_micro <- micro.censure$survyear[1:80] C_train_micro <- micro.censure$DC[1:80] modpls <- plsRcox(X_train_micro,time=Y_train_micro,event=C_train_micro,nt=3) print(summary(modpls))
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