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ruv

0.9.7.1

Detect and Remove Unwanted Variation using Negative Controls

0packages depend
31.8Kdownloads / year
test coverage
0/13checks pass

Overview

About
Maintained by Johann Gagnon-BartschFirst published 2014-10-245 releasesCRAN page ↗

Implements the 'RUV' (Remove Unwanted Variation) algorithms. These algorithms attempt to adjust for systematic errors of unknown origin in high-dimensional data. The algorithms were originally developed for use with genomic data, especially microarray data, but may be useful with other types of high-dimensional data as well. These algorithms were proposed in Gagnon-Bartsch and Speed (2012) doi:10.1093/nar/gkz433, Gagnon-Bartsch, Jacob and Speed (2013), and Molania, et. al. (2019) doi:10.1093/nar/gkz433. The algorithms require the user to specify a set of negative control variables, as described in the references. The algorithms included in this package are 'RUV-2', 'RUV-4', 'RUV-inv', 'RUV-rinv', 'RUV-I', and RUV-III', along with various supporting algorithms.

Install

Health

CRAN checks
13NOTE
Failing flavors
  • NOTE r-devel-linux-x86_64-debian-clang
  • NOTE r-devel-linux-x86_64-debian-gcc
  • NOTE r-devel-linux-x86_64-fedora-clang
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  • NOTE r-devel-windows-x86_64
  • NOTE r-oldrel-macos-arm64
  • NOTE r-oldrel-macos-x86_64
  • NOTE r-oldrel-windows-x86_64
  • NOTE r-patched-linux-x86_64
  • NOTE r-release-linux-x86_64
  • NOTE r-release-macos-arm64
  • NOTE r-release-macos-x86_64
  • NOTE r-release-windows-x86_64
Slowest check: 2.9 min · r-devel-windows-x86_64
Code health
None
Tests · ratio 0.00
not tracked
Coverage
100%
Documentation · exports
4
Dependencies · direct
Check history
  • NOTE2026-03-10
    0 OK · 14 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMENoVignettesNopkgdown siteNoNEWSNoCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
98%
Return-value docs
100%
References docs
38%

Downloads

31.8K
CRAN downloads in the past year
Rank #2,756 · ~87/day · ~2.7K/mo
Daily download trend is not available in this view yet.
1.8K30 days
5.8K90 days
31.8K1 year
Compare downloads with other packages →
Also on589 r2u19 autocran5.8K conda_forge14 c2d4u

Dependencies

Declared dependencies
5 external dependencies (excludes base and recommended)
Depends (0)
none
Imports (4)
LinkingTo (0)
none
Suggests (2)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

People & History

People (0)

Author records are not tracked yet for this package.

Listed in earlier versions (1)
no longer listed · 0.9.4 to 0.9.7.1
Package Timeline

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

  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • R
    R 4.3.0 released · 2023-04-21
  • R
    R 4.2.0 released · 2022-04-22
  • R
    R 4.1.0 released · 2021-05-18
  • R
    R 4.0.0 released · 2020-04-24
  • 0.9.7.1Latest
    2019-08-30 · current release · diff ↗
  • R
    R 3.6.0 released · 2019-04-26
  • R
    R 3.5.0 released · 2018-04-23
  • 0.9.7
    2018-03-12 · diff ↗
  • R
    R 3.4.0 released · 2017-04-21
  • R
    R 3.3.0 released · 2016-05-03
  • 0.9.6
    2015-07-18 · diff ↗
  • 0.9.5
    2015-05-20 · diff ↗
  • R
    R 3.2.0 released · 2015-04-16
Show 2 earlier events
  • 0.9.4
    2014-10-24
  • R
    R 3.1.0 released · 2014-04-10

Package metadata

First published
2014-10-24
Total releases
5 / 12 yrs
License
GPL
Download size
42 KB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("ruv")

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 ruv version 0.9.7.1 [Data set]. HJJB, LLC. Data release v2026-08-22. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-22, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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