Augmented SCRDA: improved rda classifier using nearest neighbor autocovariate

Documentation for package ‘ascrda’ version 1.0-5

ascrda-package	Augmented SCRDA: improved rda classifier using nearest neighbor autocovariate
ascrda	Test error rate for ASCRDA and other methods
DeleteD	Balanced hold-back sample indicies
ErrorDeleteD	error rate using delete-d method
ErrorRow	training/test errors for a row
FitRda	Regularized Discriminant Analysis
FitSVM	Classification using Support Vector Machine
khat	Optimal k in kNN using pseudolikelihood
nnc	Computes nearest neighbor autocovariates
nncTest	Nearest neighbor autocovariates for test data
rdaSVM	Support Vector Machine after gene selection using SCRDA
synma	Generate training and test synthetic microarray datasets with Q=2 classes.