| bootlasso | bootlasso: This package is for computation with LASSO |
| boot.lasso | Bootstrap for LASSO. |
| cd_optim | Co-ordinate descent optimization. |
| cv.lasso | Cross-validation |
| cv.mse | Root mean-squared error |
| cv.plot | Cross-validation plot |
| cv.random.partition | Random partition |
| example.boot | Example |
| example.cv | Example |
| example.imp | Example |
| example_lasso_1 | Example |
| example_lasso_2 | Example |
| example.sensitivity | Example |
| imp.lasso | Lower and upper estimates of LASSO coefficients |
| imp.lasso.tuning | Tuning of LASSO coefficients bounds |
| lasso_cd | Coefficient path (cd) |
| lasso_cd_plot | cd plot |
| lasso_df | LASSO penalty subgradient (Note: not actual gradient.) |
| lasso_f | LASSO penalty term |
| lasso_optim_cd | LASSO optimization using co-ordinate descent |
| lasso_optim_pg | LASSO optimization (proximal gradient) |
| lasso_optim_sg | LASSO optimization (sub-gradient method) |
| lasso_p | Proximal operator for lasso_f. |
| lasso_pg | Coefficient path (pg) |
| lasso_pg_plot | pg plot |
| lasso_sg | Coefficient path (sg) |
| lasso_sg_plot | sg Plot |
| opt_ts | Sequence of step sizes for optimization. |
| pg_optim | Proximal gradient optimization. |
| sensitivity.lasso | Perturbation of weights |
| sg_optim | Sub-gradient optimization. |
| soft | Soft threshold operator |
| square_df | OLS differential |
| square_f | OLS term |
| square_lasso_df | LASSO sub-gradient |
| square_lasso_f | LASSO objective |
| st_f | CD LASSO Soft Threshold term |
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