| natural-package | natural: Natural and Organic lasso estimates of error variance in high-dimensional linear models |
| getLam_olasso | Get the two (theoretical) values of lambdas used in the organic lasso |
| getLam_slasso | Get the two (theoretical) values of lambdas used in scaled lasso |
| make_sparse_model | Generate sparse linear model and random samples |
| natural | natural: Natural and Organic lasso estimates of error variance in high-dimensional linear models |
| nlasso_cv | Cross-validation for natural lasso |
| nlasso_path | Fit a linear model with natural lasso |
| olasso | Error standard deviation estimation using organic lasso |
| olasso_cv | Cross-validation for organic lasso |
| olasso_path | Fit a linear model with organic lasso |
| olasso_slow | Solve organic lasso problem with a single value of lambda The lambda values are for slow rates, which could give less satisfying results |
| plot.natural.cv | plot a natural.cv object |
| plot.natural.path | plot a natural.path object |
| print.natural.path | print a natural.path object |
| standardize | Standardize the n -by- p design matrix X to have column means zero and ||X_j||_2^2 = n for all j |