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xgboost
objects and
extract_importance_SL
pkgdown
site@examples
and @return
sections in
documentation for all functionsinherit
to avoid redundant documentation of
parameters/sectionspolymars
objectsinherits
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).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
.
None
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.