Man pages for MokyoZhou/lassoenet
An Interactive Implementation of Penalised Regressions
| Adlasso | Find the optimum pair (gamma, lambda) for an Adpative Lasso... |
| convertor | Convert a cleaned dataset into a model.matrix |
| datasplit | Split the data into a training set and a test set |
| en.robust | Internal lassoenet function |
| en.robust.split | Internal lassoenet function |
| interactiver | An interactive function for building penalised models |
| MC.result | Internal lassoenet simulation function |
| no_split_en | Internal lassoenet function |
| no_split_lasso | Internal lassoenet function |
| OLS.approach | Internal lassoenet function |
| OLS.robust | Internal lassoenet function |
| penalised_pred | Internal lassoenet functions |
| prediction_ElasticNet | Find the optimum pair (alpha, lambda) for an Elastic Net... |
| prediction_Lasso | Find the optimum lambda for a Lasso model |
| prediction.nonsplit.result | Internal lassoenet functions |
| prediction.split.result | Internal lassoenet functions |
| question.ad | Internal lassoenet functions |
| questioning | Internal lassoenet functions |
| resi_boot | Internal lassoenet function |
| ridge.approach | Internal lassoenet function |
| ridge.robust | Internal lassoenet function |
| SE.resample | Internal lassoenet simulation function |
| simulation.adlasso | Simulation studies for Lasso and Adpative Lasso |
| simulation.collinear | Simulation studies for Lasso, Elastic Net and ridge |
| simulation.generation.data | Generate simulation data |
| split_en | Internal lassoenet function |
| split_lasso | Internal lassoenet function |
