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metadeconfoundR

1.0.5Package record

Covariate-Sensitive Analysis of Cross-Sectional High-Dimensional Data

0packages depend
4.2Kdownloads / year
97.6%test coverage
13/13flavors OK

Overview

About

Using non-parametric tests, naive associations between omics features and metadata in cross-sectional data-sets are detected. In a second step, confounding effects between metadata associated to the same omics feature are detected and labeled using nested post-hoc model comparison tests, as first described in Forslund, Chakaroun, Zimmermann-Kogadeeva, et al. (2021) doi:10.1038/s41586-021-04177-9. The generated output can be graphically summarized using the built-in plotting function.

Changes in 1.0.5
  • "confounded confounders" will now be removed from the status label of a confounded variable.
  • Example: If the association of D with feature Y is confounded by C1 and C2, but the association of C1 with Y is in turn confounded by C2, then only C2 will be listed as confounder of Y~D
  • improvments in some logging messages
  • featureMat is now checked for non-numeric columns at start-up.

From NEWS in the release

Install

Health

CRAN checks
13OK
Slowest check: 10.4 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
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 1.0.5
READMEYes · 196 wordsVignettesYes · 1 · dynamicNEWSYes · 100% structured · mentions 1.0.5Citation fileNoWebsitenot declared in DESCRIPTION
Help pages
7
Examples that run
100%5 run in a plain check
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
0%

Downloads

4.2K
CRAN downloads in the past year
Rank #16,923 · ~11/day · ~346/mo
Daily download trend is not available in this view yet.
30330 days
74890 days
4.2K1 year
Compare downloads with other packages →
Also on98 r2u6 autocran

Repository

22Stars
6Forks
0Open issues
0Open PRs
2Releases
212Commits
7Commit identities
212 commits · Last activity 2026-07-23 · +4.8% stars, 30d · Default branch at 1.0.7, ahead of CRAN 1.0.5 (checked 2026-10-18)
Responsiveness
How these are sampled
PRs merged (all time)
95%
Median days to close, 50 most recently updated closed issues
189
Median days to close, 50 most recently updated closed PRs
0

Stars over time

2025-08-04 · 202026-10-20 · 22
PracticesBeta

8 development-tooling and community-health practices detected across 6 families in the upstream repository

Checks run against github.com/tillbirkner/metadeconfoundr 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

Governance and community (1)
Issue templates
Coverage (1)
Coverage reporting
CRAN release process (2)
cran-comments.mdCRAN-SUBMISSION
Show all practicesHide 2 practices
Lint, format, editor (1)
RStudio project
Git structural (1)
.gitattributes
How this is detected·Detection ruleset v3 (2026-09-26)

Dependencies

Declared dependencies
22 external dependencies (excludes base and recommended)

Installing metadeconfoundR adds 83 packages (47 with compiled code, 69 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, igraph 4.8 MB.

Depends (2)
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (2)
Author, Maintainer since 1.0.2 (2024)
Releases (2)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • 1.0.5Latest
    record
    2026-02-04 · current release · diff ↗ ·
    added 2 exports
    BuildConfounderMap, GetPartialEfSizes
  • R
    R 4.5.0 released · 2025-04-11
  • 1.0.2
    record
    2024-06-25
  • R
    R 4.4.0 released · 2024-04-24

Package metadata

First published
2024-06-25
Total releases
2 / 2 yrs
License
GPL-2 OSI
Minimum R
≥ 3.5.0
Bundled data
63 KB / 2 files
Download size
1.4 MB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("metadeconfoundR")
Birkner, T., & Forslund-Startceva, S. K. (2026). metadeconfoundR: Covariate-Sensitive Analysis of Cross-Sectional High-Dimensional Data (Version 1.0.5) [Computer software]. https://doi.org/10.32614/CRAN.package.metadeconfoundR

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 metadeconfoundR version 1.0.5 [Data set]. HJJB, LLC. Data release v2026-10-22. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-22, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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