cd_algorithm_options    Coordinate Descent (CD) Algorithm to Compute
                        Penalized Elastic Net S-estimates
change_cv_measure       Change the Cross-Validation Measure
coef.pense_cvfit        Extract Coefficient Estimates
coef.pense_fit          Extract Coefficient Estimates
consistency_const       Get the Constant for Consistency for the
                        M-Scale and for Efficiency for the M-estimate
                        of Location
elnet                   Compute the Least Squares (Adaptive) Elastic
                        Net Regularization Path
elnet_cv                Cross-validation for Least-Squares (Adaptive)
                        Elastic Net Estimates
en_admm_options         Use the ADMM Elastic Net Algorithm
en_algorithm_options    Control the Algorithm to Compute (Weighted)
                        Least-Squares Elastic Net Estimates
en_cd_options           Use Coordinate Descent to Solve Elastic Net
                        Problems
en_dal_options          Use the DAL Elastic Net Algorithm
en_lars_options         Use the LARS Elastic Net Algorithm
enpy_initial_estimates
                        ENPY Initial Estimates for EN S-Estimators
enpy_options            Options for the ENPY Algorithm
mloc                    Compute the M-estimate of Location
mlocscale               Compute the M-estimate of Location and Scale
mm_algorithm_options    MM-Algorithm to Compute Penalized Elastic Net
                        S- and M-Estimates
mscale                  Compute the M-Scale of Centered Values
mscale_algorithm_options
                        Options for the M-scale Estimation Algorithm
pense                   Compute (Adaptive) Elastic Net S-Estimates of
                        Regression
pense_cv                Cross-validation for (Adaptive) PENSE Estimates
plot.pense_cvfit        Plot Method for Penalized Estimates With
                        Cross-Validation
plot.pense_fit          Plot Method for Penalized Estimates
predict.pense_cvfit     Predict Method for PENSE Fits
predict.pense_fit       Predict Method for PENSE Fits
prediction_performance
                        Prediction Performance of Adaptive PENSE Fits
prinsens                Principal Sensitivity Components
regmest                 Compute (Adaptive) Elastic Net M-Estimates of
                        Regression
regmest_cv              Cross-validation for (Adaptive) Elastic Net
                        M-Estimates
residuals.pense_cvfit   Extract Residuals
residuals.pense_fit     Extract Residuals
rho_function            List Available Rho Functions
starting_point          Create Starting Points for the PENSE Algorithm
summary.pense_cvfit     Summarize Cross-Validated PENSE Fit
tau_size                Compute the Tau-Scale of Centered Values
