canonicalSVD | singular value decomposition |
cv_all | calculate the CV optimal beta |
cv_screen | calculate the CV optimal beta and estimated support set |
hittingpoint | hitting point calculator on a given path |
normc | default normalization function for matrix |
select | split knockoff selector given W statistics |
sk.create | generate split knockoff copies |
sk.decompose | make SVD as well as orthogonal complements |
sk.filter | split Knockoff filter for structural sparsity problem |
sk.W_fixed | W statistics generator based on a fixed beta(lambda) = hat... |
sk.W_path | W statistics generator based on the beta(lambda) from a split... |
threshold | compute the threshold for variable selection |
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