Man pages for flevr
Flexible, Ensemble-Based Variable Selection with Potentially Missing Data
| biomarkers | Example biomarker data |
| extract_importance_glm | Extract the learner-specific importance from a glm object |
| extract_importance_glmnet | Extract the learner-specific importance from a glmnet object |
| extract_importance_mean | Extract the learner-specific importance from a mean object |
| extract_importance_polymars | Extract the learner-specific importance from a polymars... |
| extract_importance_ranger | Extract the learner-specific importance from a ranger object |
| extract_importance_SL | Extract extrinsic importance from a Super Learner object |
| extract_importance_SL_learner | Extract the learner-specific importance from a fitted... |
| extract_importance_svm | Extract the learner-specific importance from an svm object |
| extract_importance_xgboost | Extract the learner-specific importance from an xgboost... |
| extrinsic_selection | Perform extrinsic, ensemble-based variable selection |
| flevr | flevr: Flexible, Ensemble-Based Variable Selection with... |
| get_augmented_set | Get an augmented set based on the next-most significant... |
| get_base_set | Get an initial selected set based on intrinsic importance and... |
| intrinsic_control | Control parameters for intrinsic variable selection |
| intrinsic_selection | Perform intrinsic, ensemble-based variable selection |
| pool_selected_sets | Pool selected sets from multiply-imputed data |
| pool_spvims | Pool SPVIM Estimates Using Rubin's Rules |
| SL.ranger.imp | Super Learner wrapper for a ranger object with variable... |
| SL_stabs_fitfun | Wrapper for using Super Learner-based extrinsic selection... |
| spvim_vcov | Extract a Variance-Covariance Matrix for SPVIM Estimates |
