| .smoothLASSOHessian | R Documentation | 
smoothed version of non-differentiable LASSO Hessian
.smoothLASSOHessian(parameters, tuningParameters, penaltyFunctionArguments)
| parameters | vector with labeled parameter values | 
| tuningParameters | list with field lambda (tuning parameter value) | 
| penaltyFunctionArguments | list with field regularizedParameterLabels (labels of regularized parameters), and eps (controls the smooth approximation of non-differential penalty functions (e.g., lasso, adaptive lasso, or elastic net). Smaller values result in closer approximation, but may also cause larger issues in optimization.) | 
Hessian matrix
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.