| grpregOverlap-package | Penalized regression models with overlapping grouped variables. |
| coef.cv.grpregOverlap | Model predictions based on a fitted object |
| coef.grpregOverlap | Model predictions based on a fitted object |
| cv.grpregOverlap | Cross-validation for choosing regularization parameter lambda |
| cv.grpsurvOverlap | Cross-validation for choosing regularization parameter lambda for Cox models. |
| expandX | Expand design matrix according to grouping information |
| grpregOverlap | Fit penalized regression models with overlapping grouped variables |
| incidenceMatrix | Compute the incidence matrix indicating group memebership |
| overlapMatrix | Compute a matrix indicating overlaps between groups |
| pathway.dat | Gene expression and pathway information of p53 cancer cell lines |
| plot.cv.grpregOverlap | Plots the cross-validation curve from cross-validated object |
| plot.grpregOverlap | Plot object "grpregOverlap" |
| predict.cv.grpregOverlap | Model predictions based on a fitted object |
| predict.grpregOverlap | Model predictions based on a fitted object |
| predict.grpsurvOverlap | Model predictions based on a fitted 'grpsurvOverlap' object. |
| print.summary.cv.grpregOverlap | Summarizing inferences based on cross-validation |
| select | Select an value of lambda along a regularization path |
| select.grpregOverlap | Select an value of lambda along a regularization path |
| summary.cv.grpregOverlap | Summarizing inferences based on cross-validation |