Simulation of High-Dimensional Data and Parallelized Repeated Penalized Regression
simulate correlated predictors with time-to-event or binary outcome
Parallelized calculation of cross-validated risk score predictions fro...
Parallelized calculation of split training/test set predictions from L...
Parallelized repeated tuning of Lasso or Ridge penalty parameter
Parallelized, two-dimensional tuning of Elastic Net L1/L2 penalties
Functions and data for simulation of high-dimensional data and paralle...
Function calculate cross-validated likelihood on a regular grid of L1/...
Simulation of continuous, correlated high-dimensional data with time to event or binary response, and parallelized functions for Lasso, Ridge, and Elastic Net penalized regression with repeated starts and two-dimensional tuning of the Elastic Net.