coef.elnetfit |
Extract Model Coefficients |
coef.pense |
Extract Model Coefficients |
elnet |
Elastic Net Estimator for Regression |
elnet_cv |
Cross-validate Elastic Net |
enpy |
PY (Pena-Yohai) initial estimates for EN S-estimators |
en_options |
Additional Options for the EN Algorithms |
en_options_aug_lars |
Additional Options for the EN Algorithms |
en_options_dal |
Additional Options for the EN Algorithms |
initest_options |
Additional Options for the Initial Estimator |
mscale |
Robust M-estimate of Scale |
mstep_options |
Additional Options for the Penalized EN MM-estimator |
pense |
Penalized Elastic Net S-estimators for Regression |
pensem |
Perform an M-step after the EN S-Estimator |
pensem.default |
Perform an M-step after the EN S-Estimator |
pensem.pense |
Perform an M-step after the EN S-Estimator |
pense_options |
Additional Options for the Penalized EN S-estimator |
plot.cv_elnetfit |
Plot Method for Cross-Validated Elastic Net Models |
plot.elnetfit |
Plot Method for Fitted Elastic Net Models |
plot.pense |
Plot Method for Fitted Penalized Elastic Net S/MM-Estimates of Regression |
predict.elnetfit |
Predict Method for the classical Elastic Net Estimator |
predict.pense |
Predict Method for Penalized Elastic Net S- and MM-estimators |
prinsens |
Principal Sensitivity Components |
residuals.elnetfit |
Extract Residuals from a Fitted Elastic-Net Estimator |
residuals.pense |
Extract Residuals from a Fitted Penalized Elastic-Net S/MM-estimator |