xgboost objects and extract_importance_SLpkgdown site@examples and @return sections in documentation for all functionsinherit to avoid redundant documentation of parameters/sectionspolymars objectsinheritsspvim_vcov (compute variance-covariance matrix for SPVIMs for intrinsic selection); pool_spvims (pool point estimates and obtain Rubin’s rules-based variance estimates for multiple imputation-based procedures).biomarkers, for use in vignettesextract_importance_svm, which computes extrinsic importance from a ksvm objectNone
The first version of the flevr package! This package provides functions for variable selection using flexible ensembles. These functions can be used on both complete-case and multiply-imputed data. The two procedures considered are based on extrinsic variable importance (estimated using the Super Learner) and intrinsic variable importance (estimated using the Shapley Population Variable Importance Measure). Both can also be embedded within stability selection using stabs.
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