| 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 | 
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.