Robust and Sparse Methods for High Dimensional Linear and Binary and Multinomial Regression

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Documentation for package ‘enetLTS’ version 1.1.0

• DESCRIPTION file.

Help Pages

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