.smoothAdaptiveLASSOHessian | R Documentation |
smoothed version of non-differentiable adaptive LASSO Hessian
.smoothAdaptiveLASSOHessian(
parameters,
tuningParameters,
penaltyFunctionArguments
)
parameters |
vector with labeled parameter values |
tuningParameters |
list with fields lambdas (vector with one tuning parameter value for each parameter) |
penaltyFunctionArguments |
list with fields 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.