coef.enetLTS |
coefficients from the 'enetLTS' object |
cv.enetLTS |
Cross-validation for the 'enetLTS' object |
enetLTS |
Robust and Sparse Methods for High Dimensional Linear and Binary and Multinomial Regression |
fitted.enetLTS |
the fitted values from the '"enetLTS"' object. |
lambda00 |
Upper limit of the penalty parameter for 'family="binomial"' |
nonzeroCoef.enetLTS |
nonzero coefficients indices from the '"enetLTS"' object |
plot.enetLTS |
plots from the '"enetLTS"' object |
plotCoef.enetLTS |
coefficients plots from the '"enetLTS"' object |
plotDiagnostic.enetLTS |
diagnostics plots from the '"enetLTS"' object |
plotResid.enetLTS |
residuals plots from the '"enetLTS"' object |
predict.enetLTS |
make predictions from the '"enetLTS"' object. |
print.enetLTS |
print from the '"enetLTS"' object |
residuals.enetLTS |
the residuals from the '"enetLTS"' object |
weights.enetLTS |
binary weights from the '"enetLTS"' object |