Man pages for saraemoore/SLScreenExtra
A Collection of Additional Feature Selection Algorithms and Utilities for SuperLearner
| CV.SuperLearner_tidiers | Tidying method(s) for a CV.SuperLearner fit object |
| rownames_to_column.matrix | Move rownames to a column for a matrix, then convert to... |
| screen.earth | Non-linear regression screening algorithm |
| screen.earth.backwardprune | Non-linear regression screening algorithm |
| screen.FSelector | Screening algorithms implemented in the FSelector package |
| screen.FSelector.cfs | Correlation Feature Selection (CFS) screening algorithm |
| screen.FSelector.chi.squared | Chi-squared test screening algorithm |
| screen.FSelector.consistency | Consistency screening algorithm |
| screen.FSelector.correlation | Correlation screening algorithm |
| screen.FSelector.entropy | Entropy-based screening algorithms |
| screen.FSelector.oneR | OneR screening algorithm |
| screen.FSelector.random.forest.importance | Random Forest screening algorithm |
| screen.FSelector.relief | RReliefF screening algorithm |
| screen.randomForest.imp | "Best of both worlds" Random Forest screening algorithm |
| screen.ranger | Screen features via a fast implementation of Random Forest |
| screen.wgtd.corP | Weighted correlation screening algorithm |
| screen.wgtd.corRank | Weighted correlation screening algorithm |
| screen.wgtd.elasticnet | Weighted regularized regression screening algorithm |
| screen.wgtd.ttest | Weighted t-test screening algorithm |
| screen.wgtd.ttestP | Weighted t-test screening algorithm |
| SLScreenExtra | SLScreenExtra: A collection of screening algorithms for... |
| SuperLearner_tidiers | Tidying method(s) for a SuperLearner fit object |
