CV_L2E_TF_dist          Cross validation for L2E trend filtering
                        regression with distance penalization
CV_L2E_TF_lasso         Cross validation for L2E trend filtering
                        regression with Lasso penalization
CV_L2E_sparse_dist      Cross validation for L2E sparse regression with
                        distance penalization
CV_L2E_sparse_ncv       Cross validation for L2E sparse regression with
                        existing penalization methods
L2E                     L2E
L2E_TF_dist             Solution path of the L2E trend filtering
                        regression with distance penalization
L2E_TF_lasso            Solution path of the L2E trend filtering
                        regression with Lasso
L2E_convex              L2E convex regression
L2E_isotonic            L2E isotonic regression
L2E_multivariate        L2E multivariate regression
L2E_sparse_dist         Solution path of L2E sparse regression with
                        distance penalization
L2E_sparse_ncv          Solution path of L2E sparse regression with
                        existing penalization methods
bank                    Bank data
l2e_regression          L2E multivariate regression - PG
l2e_regression_MM       L2E multivariate regression - MM
l2e_regression_TF_dist
                        L2E trend filtering regression with distance
                        penalization
l2e_regression_TF_lasso
                        L2E trend filtering regression with Lasso
                        penalization
l2e_regression_convex   L2E convex regression - PG
l2e_regression_convex_MM
                        L2E convex regression - MM
l2e_regression_isotonic
                        L2E isotonic regression - PG
l2e_regression_isotonic_MM
                        L2E isotonic regression - MM
l2e_regression_sparse_dist
                        L2E sparse regression with distance
                        penalization
l2e_regression_sparse_ncv
                        L2E sparse regression with existing
                        penalization methods
myGetDkn                Compute kth order differencing matrix
objective               Objective function of the L2E regression - eta
objective_tau           Objective function of the L2E regression - tau
update_beta_MM_TF       Beta update in L2E trend filtering regression -
                        MM
update_beta_MM_convex   Beta update in L2E convex regression - MM
update_beta_MM_isotonic
                        Beta update in L2E isotonic regression - MM
update_beta_MM_ls       Beta update in L2E multivariate regression - MM
update_beta_MM_sparse   Beta update in L2E sparse regression - MM
update_beta_TF_lasso    Beta update in L2E trend filtering regression
                        using Lasso
update_beta_convex      Beta update in L2E convex regression - PG
update_beta_isotonic    Beta update in L2E isotonic regression - PG
update_beta_qr          Beta update in L2E multivariate regression - PG
update_beta_sparse_ncv
                        Beta update in L2E sparse regression - NCV
update_eta_bktk         Eta update using Newton's method with
                        backtracking
update_tau_R            Tau update function
