estimate the error rate and AUC of tuned.splsda panel
1 | tuned.sPLSDACV(object, folds)
|
folds |
list of length M where each element contains the indices of the samples in that fold |
X |
nxp dataset |
Y |
vector of phenotype labels with names(Y) == rownames(X) |
ncomp |
number of components |
progressBar |
= TRUE/FALSE |
keepXgrid |
sequence of integers (# of variables to select per component) |
validatoin |
"Mfold" or "loo" |
M |
Number of folds in the cross-validation |
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