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

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

## 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