| binomial.example.data | Simulate input grouped data (binomial outcome) for testing with ptLasso. |
| coef.cv.ptLasso | Get the coefficients from a fitted cv.ptLasso model. |
| coef.ptLasso | Get the coefficients from a fitted ptLasso model. |
| cv.ptLasso | Cross-validation for ptLasso |
| gaussian.example.data | Simulate input grouped data (gaussian outcome) for testing with ptLasso. |
| get.individual.support | Get the support for individual models |
| get.overall.support | Get the support for the overall model |
| get.pretrain.support | Get the support for pretrained models |
| makedata | Simulate input grouped data for testing with ptLasso. |
| makedata.targetgroups | Simulate target grouped data for testing with ptLasso. |
| plot.cv.ptLasso | Plot the cross-validation curve produced by cv.ptLasso, as a function of the 'alpha' values used. |
| plot.ptLasso | Plot the models trained by a ptLasso object |
| predict.cv.ptLasso | Predict using a cv.ptLasso object. |
| predict.ptLasso | Predict using a ptLasso object. |
| print.cv.ptLasso | Print the cv.ptLasso object. |
| print.predict.cv.ptLasso | Print the predict.cv.ptLasso object. |
| print.predict.ptLasso | Print the predict.ptLasso object. |
| print.ptLasso | Print the ptLasso object. |
| ptLasso | Fit a pretrained lasso model using glmnet. |