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flevr  

Flexible, Ensemble-Based Variable Selection with Potentially Missing Data
View on CRAN: Click here


Download and install flevr package within the R console
Install from CRAN:
install.packages("flevr")

Install from Github:
library("remotes")
install_github("cran/flevr")

Install by package version:
library("remotes")
install_version("flevr", "0.0.5")



Attach the package and use:
library("flevr")
Maintained by
Brian D. Williamson
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-11-30
Latest Update: 2023-11-30
Description:
Perform variable selection in settings with possibly missing data based on extrinsic (algorithm-specific) and intrinsic (population-level) variable importance. Uses a Super Learner ensemble to estimate the underlying prediction functions that give rise to estimates of variable importance. For more information about the methods, please see Williamson and Huang (2023+) .
How to cite:
Brian D. Williamson (2023). flevr: Flexible, Ensemble-Based Variable Selection with Potentially Missing Data. R package version 0.0.5, https://cran.r-project.org/web/packages/flevr. Accessed 06 Aug. 2026.
Previous versions and publish date:
(2026-07-09 07:39), 0.0.4 (2023-11-30 11:20)
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Complete documentation for flevr
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