| FitRDA(CLEg) | R Documentation |
Fits RDA, computes mis-classification rates on training and test data.
FitRDA(X, y, Xt, yt, alpha = seq(0, 0.99, 0.11), delta = seq(0, 4, 0.2))
X |
design matrix, training sample |
y |
binary response vector of 1 and -1 |
Xt |
design matrix, test sample |
yt |
binary response vector of 1 and -1 |
alpha |
tuning parameter |
delta |
turning parameter |
Shahidul Islam
Guo Y, Hastie T, Tibshirani R (2007). Regularized linear discriminant analysis and its application in microarrays. Biostatistics 8, 86-100.