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ruv

0.9.7.2Package record

Detect and Remove Unwanted Variation using Negative Controls

0packages depend
28.2Kdownloads / year
–test coverage
13/13flavors OK

Overview

About

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
13OK
Slowest check: 2.8 min · r-devel-windows-x86_64
Status changes
  • OK13 OK2026-09-06
  • NOTE14 NOTE2026-03-10
Advisories

none known

Documentation

In release 0.9.7.2
READMENoVignettesNoNEWSNoCitation fileNoWebsiteYes
Help pages
34includes a package overview page
Examples that run
100%7 run in a plain check
Exported functions with examples
21%
Documented parameters
98%
Return-value docs
100%
Help pages citing references
38%

Downloads

28.2K
CRAN downloads in the past year
Rank #2,193 · ~77/day · ~2.4K/mo
Daily download trend is not available in this view yet.
2.9K30 days
8.1K90 days
28.2K1 year
Compare downloads with other packages →
Also on1.2K r2u7.5K conda_forge34 c2d4u

Dependencies

Declared dependencies
5 external dependencies (excludes base and recommended)

Installing ruv adds 18 packages (7 with compiled code, 14 MB of source tarballs). Heaviest: ggplot2 6.0 MB, isoband 1.5 MB, farver 1.2 MB.

Depends (0)
none
Imports (4)
LinkingTo (0)
none
Suggests (2)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

People & History

People (1)
Author, Maintainer since 0.9.4 (2014)
Releases (6)

Pick two releases to compare their code metrics.

  • 0.9.7.2Latest
    record
    2026-08-31 · current release · diff ↗
  • 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
  • 0.9.7.1
    record
    2019-08-30 · diff ↗
  • R
    R 3.6.0 released · 2019-04-26
  • R
    R 3.5.0 released · 2018-04-23
  • 0.9.7
    record
    2018-03-12 · diff ↗ ·
    added 21 exports
    collapse.replicates, design.matrix, google_search, projectionplotvariables, replicate.matrix, RUVI, RUVIII, ruv_cancorplot, ruv_ecdf, ruv_hist, ruv_projectionplot, ruv_rankplot, ruv_residuals, ruv_rle, ruv_scree, ruv_shiny, ruv_summary, ruv_svdgridplot, ruv_svdplot, ruv_varianceplot, ruv_volcano
  • R
    R 3.4.0 released · 2017-04-21
  • R
    R 3.3.0 released · 2016-05-03
  • 0.9.6
    record
    2015-07-18 · diff ↗
  • 0.9.5
    record
    2015-05-20 · diff ↗
Show 3 earlier eventsHide 3 earlier events
  • R
    R 3.2.0 released · 2015-04-16
  • 0.9.4
    record
    2014-10-24
  • R
    R 3.1.0 released · 2014-04-10

Package metadata

First published
2014-10-24
Total releases
6 / 12 yrs
License
GPL
Download size
41 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("ruv")
Gagnon-Bartsch, J. (2026). ruv: Detect and Remove Unwanted Variation using Negative Controls (Version 0.9.7.2) [Computer software]. https://doi.org/10.32614/CRAN.package.ruv

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 ruv version 0.9.7.2 [Data set]. HJJB, LLC. Data release v2026-10-25. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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