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flevr

0.0.5Package record

Flexible, Ensemble-Based Variable Selection with Potentially Missing Data

0packages depend
2.5Kdownloads / year
73.1%test coverage
13/13flavors OK

Overview

About

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.

Changes in 0.0.5

Major changes

None

Minor changes

  • Updated documentation to use \doi for manuscript links
  • Updated documentation for extract_importance_xgboost to be version-agnostic

From NEWS.md in the release

Install

Health

CRAN checks
13OK
Slowest check: 2.7 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK13 OK2026-06-09
  • ERROR12 OK, 1 ERROR2026-06-08
  • OK13 OK2026-05-02
Show 2 earlier changesHide 2 earlier changes
  • ERROR11 OK, 1 ERROR2026-04-25
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 0.0.5
READMEYes · 154 wordsVignettesYes · 3 · dynamicNEWSYes · 100% structured · mentions 0.0.5Citation fileNo
Help pages
21 (1 internal)includes a package overview page
Examples that run
63%12 run in a plain check · 7 only when donttest examples are enabled (R CMD check --as-cran)
Exported functions with examples
100%
Documented parameters
95%
Return-value docs
100%
Help pages citing references
5%

Downloads

2.5K
CRAN downloads in the past year
Rank #18,392 · ~7/day · ~211/mo
Daily download trend is not available in this view yet.
32230 days
70390 days
2.5K1 year
Compare downloads with other packages →
Also on82 r2u7 autocran

Repository

5Stars
0Forks
0Open issues
0Open PRs
2Releases
100Commits
1Commit identities
100 commits · Last activity 2025-12-05
Responsiveness
not measured

Stars over time

2024-04-11 · 52026-07-07 · 5
PracticesBeta

7 development-tooling and community-health practices detected across 4 families in the upstream repository

Checks run against github.com/bdwilliamson/flevr on 2026-10-18.

Continuous integration (2)
GitHub ActionsR CMD check workflow

The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel

Docs source (2)
pkgdown

GitHub Pages site last deployed 2025-12-05

Coverage (1)
Coverage reporting
CRAN release process (2)
cran-comments.mdCRAN-SUBMISSION
How this is detected·Detection ruleset v3 (2026-09-26)

Dependencies

Declared dependencies
18 external dependencies (excludes base and recommended)

Installing flevr adds 76 packages (43 with compiled code, 58 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, data.table 5.7 MB.

Depends (1)
R >= 3.1.0
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (1)
Author, Maintainer since 0.0.4 (2023)
Releases (2)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • 0.0.5Latest
    record
    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
    record
    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

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 package has no citation file, so citation() returns this entry built from DESCRIPTION.

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 v2026-10-21. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-21, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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