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mvoutlier

2.1.4Package record

Multivariate Outlier Detection Based on Robust Methods

2packages dependsuggested by 5
29Kdownloads / year
–test coverage
13/13flavors OK

Overview

About

Various methods for multivariate outlier detection: arw, a Mahalanobis-type method with an adaptive outlier cutoff value; locout, a method incorporating local neighborhood; pcout, a method for high-dimensional data; mvoutlier.CoDa, a method for compositional data. References are provided in the corresponding help files.

Install

Health

CRAN checks
13OK
Slowest check: 2.0 min · r-oldrel-macos-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK13 OK2026-06-09
  • WARNING12 OK, 1 WARNING2026-06-08
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 2.1.4
READMENoVignettesNoNEWSNoCitation fileNoWebsiteYes
Help pages
30
Examples that run
100%30 run in a plain check
Exported functions with examples
100%
Documented parameters
not tracked
Return-value docs
not tracked
Help pages citing references
77%

Downloads

29K
CRAN downloads in the past year
Rank #2,996 · ~79/day · ~2.4K/mo
Daily download trend is not available in this view yet.
1.7K30 days
4.5K90 days
29K1 year
Compare downloads with other packages →
Also on569 r2u8 autocran2.7K conda_forge961 c2d4u

Dependencies

Declared dependencies
2 external dependencies (excludes base and recommended)

Installing mvoutlier adds 3 packages (2 with compiled code, 2.3 MB of source tarballs). Heaviest: robustbase 2.2 MB, sgeostat 35 KB, DEoptimR 24 KB.

Depends (2)
R >= 3.1sgeostat
Imports (1)
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
2direct
0indirect
Imports 2
Suggested by 5
Depends, Imports or LinkingTo, most downloaded first
Suggests, most downloaded first

Datasets

People & History

People (1)
Author, Maintainer since 1.2 (2007)

Previously maintained by Moritz Gschwandtner (1.0 to 1.1).

Listed in earlier versions (1)
Moritz Gschwandtner
no longer listed · 1.0 to 2.1.1
Releases (25)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • 2.1.4Latest
    record
    2026-02-26 · current release · diff ↗
  • 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
  • unarchivedReturned to CRAN
    2021-07-30
  • 2.1.1
    record
    2021-07-30 · diff ↗
  • archivedRemoved from CRAN
    2021-07-17
    requires archived package 'robCompositions'
  • R
    R 4.1.0 released · 2021-05-18
  • R
    R 4.0.0 released · 2020-04-24
  • R
    R 3.6.0 released · 2019-04-26
  • R
    R 3.5.0 released · 2018-04-23
  • 2.0.9
    record
    2018-02-08 · diff ↗
  • R
    R 3.4.0 released · 2017-04-21
  • 2.0.8
    record
    2017-01-16 · diff ↗
Show 41 earlier eventsHide 41 earlier events
  • R
    R 3.3.0 released · 2016-05-03
  • R
    R 3.2.0 released · 2015-04-16
  • 2.0.6
    record
    2015-01-30 · diff ↗
  • 2.0.5
    record
    2014-06-23 · diff ↗
  • R
    R 3.1.0 released · 2014-04-10
  • 2.0.4
    record
    2014-02-25 · diff ↗
  • 2.0.3
    record
    2013-08-23 · diff ↗ ·
    removed 19 exports
    aq.plot, arw, chisq.plot, color.plot, corr.plot, dd.plot, map.plot, mvoutlier.CoDa, pbb, pcout, pkb, plot.mvoutlierCoDa, sign1, sign2, symbol.plot, uni.plot, locoutNeighbor, locoutPercent, locoutSort
    added 1 export
    pattern:.
  • R
    R 3.0.0 released · 2013-04-03
  • 1.9.9
    record
    2013-01-14 · diff ↗
  • 1.9.8
    record
    2012-08-31 · diff ↗
  • 1.9.7
    record
    2012-04-19 · diff ↗ ·
    removed 1 export
    cor.plot
    added 4 exports
    corr.plot, locoutNeighbor, locoutPercent, locoutSort
  • R
    R 2.15.0 released · 2012-03-30
  • 1.9.4
    record
    2011-11-07 · diff ↗ ·
    added 16 exports
    aq.plot, arw, chisq.plot, color.plot, cor.plot, dd.plot, map.plot, mvoutlier.CoDa, pbb, pcout, pkb, plot.mvoutlierCoDa, sign1, sign2, symbol.plot, uni.plot
  • R
    R 2.14.0 released · 2011-10-31
  • 1.9.3
    record
    2011-09-06 · diff ↗
  • 1.9.1
    record
    2011-06-02 · diff ↗
  • 1.9
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    2011-05-30 · diff ↗
  • R
    R 2.13.0 released · 2011-04-13
  • 1.8
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    2011-04-06 · diff ↗
  • 1.7
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    2011-02-08 · diff ↗
  • 1.6
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    2011-01-14 · diff ↗
  • 1.5
    record
    2010-11-08 · diff ↗
  • R
    R 2.12.0 released · 2010-10-15
  • R
    R 2.11.0 released · 2010-04-22
  • R
    R 2.10.0 released · 2009-10-26
  • R
    R 2.9.0 released · 2009-04-17
  • 1.4
    record
    2009-01-22 · diff ↗
  • R
    R 2.8.0 released · 2008-10-20
  • R
    R 2.7.0 released · 2008-04-22
  • R
    R 2.6.0 released · 2007-10-03
  • 1.3
    record
    2007-05-16 · diff ↗
  • 1.2.1
    record
    2007-04-27 · diff ↗
  • 1.2
    record
    2007-04-24 · diff ↗
  • R
    R 2.5.0 released · 2007-04-24
  • R
    R 2.4.0 released · 2006-10-03
  • R
    R 2.3.0 released · 2006-04-24
  • R
    R 2.2.0 released · 2005-10-06
  • 1.1
    record
    2005-05-31 · diff ↗
  • R
    R 2.1.0 released · 2005-04-18
  • 1.0
    record
    2004-11-11
  • R
    R 2.0.0 released · 2004-10-04

Package metadata

First published
2004-11-11
Total releases
25 / 22 yrs
License
GPL (>= 3) OSI
Minimum R
≥ 3.1
Bundled data
429 KB / 11 files
Download size
466 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("mvoutlier")
Filzmoser, P. (2026). mvoutlier: Multivariate Outlier Detection Based on Robust Methods (Version 2.1.4) [Computer software]. https://doi.org/10.32614/CRAN.package.mvoutlier

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 mvoutlier version 2.1.4 [Data set]. HJJB, LLC. Data release v2026-10-23. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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