Sparse Distance Weighted Discrimination
compute coefficients from a "cv.sdwd" object
compute coefficients for the sparse DWD
cross-validation for the sparse DWD
plot the cross-validation curve of the sparse DWD
plot coefficients for the sparse DWD
make predictions from a "cv.sdwd" object
make predictions for the sparse DWD
print an sdwd object
internal sdwd functions
Sparse Distance Weighted Discrimination
fit the sparse DWD
Formulates a sparse distance weighted discrimination (SDWD) for high-dimensional classification and implements a very fast algorithm for computing its solution path with the L1, the elastic-net, and the adaptive elastic-net penalties. More details about the methodology SDWD is seen on Wang and Zou (2016) (<doi:10.1080/10618600.2015.1049700>).