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flevr

0.0.5

Flexible, Ensemble-Based Variable Selection with Potentially Missing Data

0packages depend
2.3Kdownloads / year
73.1%test coverage
13/13checks pass

Overview

About
Maintained by Brian D. WilliamsonFirst published 2023-11-302 releasesCRAN page ↗GitHub ↗

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 (2024) doi:10.1515/ijb-2023-0059.

Install

Health

CRAN checks
13OK
Slowest check: 2.7 min · r-oldrel-windows-x86_64
Code health
Yes
Tests · ratio 0.24
73.1%
Coverage · measured lines
100%
Documentation · exports
9
Dependencies · direct
Check history
  • OK2026-08-05
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-08-01
    12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • OK2026-06-09
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-06-08
    12 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • OK2026-05-02
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Show 2 earlier snapshots
  • ERROR2026-04-25
    11 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • OK2026-03-10
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMEYes · 154 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo
Examples that run
63%
Documented parameters
95%
Return-value docs
100%
References docs
5%

Downloads

2.3K
CRAN downloads in the past year
Rank #21,177 · ~6/day · ~191/mo
Daily download trend is not available in this view yet.
12630 days
52690 days
2.3K1 year
Compare downloads with other packages →
Also on104 r2u14 autocran

Repository

Repository
5Stars
0Forks
0Open issues
0Open PRs
2Releases
100Commits
1Contributors
100 commits · Last activity 2025-12-08

Stars over time

2024-04-11 · 52026-07-07 · 5

Repository practices

Upstream repositoryBeta

3 development-tooling and community-health practices detected across 2 families in the upstream repository

Checks run against github.com/bdwilliamson/flevr on 2026-08-09.

Continuous integration (1)
GitHub Actions
CRAN release process (2)
cran-comments.mdCRAN-SUBMISSION
How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies
18 external dependencies (excludes base and recommended)
Depends (1)
R >= 3.1.0
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

Datasets

People & History

People (1)
Maintainer (1)
Author, Maintainer
Authors (1)
Author, Maintainer
Package Timeline

2 releases. Pick two to compare their code metrics. R releases are shown for context.

  • R
    R 4.6.0 released · 2026-04-24
  • 0.0.5Latest
    2025-12-06 · current release · diff ↗
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • 0.0.4
    2023-11-30
  • R
    R 4.3.0 released · 2023-04-21

Package metadata

First published
2023-11-30
Total releases
2 / 3 yrs
License
MIT + file LICENSE OSI
Minimum R
≥ 3.1.0
Bundled data
21 KB / 1 file
Download size
173 KB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("flevr")
Williamson, B. D. (2025). flevr: Flexible, Ensemble-Based Variable Selection with Potentially Missing Data (Version 0.0.5) [Computer software]. https://doi.org/10.32614/CRAN.package.flevr

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for flevr version 0.0.5 [Data set]. HJJB, LLC. Data release v2026-08-15. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-15, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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