Changes in version 0.0.5 (2025-12-06) Major changes None Minor changes - Updated documentation to use \doi for manuscript links - Updated documentation for extract_importance_xgboost to be version-agnostic Changes in version 0.0.4 (2023-11-30) Major changes - Bugfixes for xgboost objects and extract_importance_SL - pkgdown site Minor changes - Add @examples and @return sections in documentation for all functions - Use inherit to avoid redundant documentation of parameters/sections Changes in version 0.0.3 Major changes - Added importance extractor for polymars objects Minor changes - Updated internal checking to inherits Changes in version 0.0.2 Major changes - Updated PFP and FDR control for intrinsic selection - Added functions spvim_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). - Added a dataset, biomarkers, for use in vignettes Changes in version 0.0.1 Major changes - Added function extract_importance_svm, which computes extrinsic importance from a ksvm object - Added a vignette on basic usage of the package Minor changes None Changes in version 0.0.0.9000 Major changes 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. Minor changes None