R Observatory: Metrics for outliersHD version 1.0

Balamuta, James Joseph

outliersHD

1.0

Detection of Outliers in High Dimensional Data

0packages depend

188downloads / year

–test coverage

13/13checks pass

Overview

About

Maintained by Michail TsagrisFirst published 2026-07-041 releasesCRAN page ↗

Algorithms to detect high-dimensional outliers. The minimum diagonal product of Ro, Zou, Wang and Yin (2015) doi:10.1093/biomet/asv021, the algorithm of Wilkinson (2018) doi:10.1109/TVCG.2017.2744685, and the distances of distances of Lee and Jeon (2025) doi:10.48550/arXiv.2511.02199.

Install

R (CRAN)Ubuntu (r2u)Fedora (COPR)openSUSE (OBS)

install.packages("outliersHD", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

Release

# enable cranapt (r2u) if it is not already set up, then install
grep -rqs r2u.stat.illinois.edu /etc/apt/sources.list /etc/apt/sources.list.d/ \
  || curl -fsSL https://raw.githubusercontent.com/eddelbuettel/r2u/master/inst/scripts/add_cranapt_noble.sh | sudo bash
sudo apt install -y r-cran-outliershd

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled.

bspm (used by r2u) also needs make: sudo apt install make

# enable the iucar/cran COPR if it is not already present, then install
ls /etc/yum.repos.d/*iucar*cran*.repo >/dev/null 2>&1 \
  || sudo dnf copr enable -y iucar/cran
sudo dnf install -y R-CRAN-outliersHD

RPMs from the iucar/cran COPR, rebuilt from CRAN.

For install.packages() integration in R, also: sudo dnf install R-CoprManager

# add the autoCRAN OBS repo (Tumbleweed) if it is missing, then install
zypper -q lr | grep -qi autoCRAN \
  || sudo zypper addrepo https://download.opensuse.org/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/devel:languages:R:autoCRAN.repo
sudo zypper install -y R-outliersHD

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed).

Health

CRAN checks

13OK

Slowest check: 54 s · r-oldrel-windows-x86_64

Code health

None

Tests · ratio 0.00

not tracked

Coverage

4

Dependencies · direct

Check history

OK2026-08-05
13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
NOTE2026-08-01
12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
OK2026-07-05
6 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMENoVignettesNopkgdown siteNoNEWSNoCode of conductNoContributing guideNo

Examples that run: 100%
Documented parameters: not tracked
Return-value docs: not tracked
References docs: 100%

Downloads

188

CRAN downloads in the past year

Rank #24,353 · ~1/day · ~16/mo

Releases R versions

Daily download trend is not available in this view yet.

13830 days

18890 days

1881 year

Compare downloads with other packages →

Also on13 r2u

Dependencies

Declared dependencies

3 external dependencies (excludes base and recommended)

Depends (1)

R >= 4.0

Imports (4)

Rfast Rfast2 Rnanoflannstats

LinkingTo (0)

none

Suggests (0)

none

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

Code & Tests

People & History

People (1)

Maintainer (1)

Michail Tsagris

Author, Maintainer

Authors (1)

Michail Tsagris

Author, Maintainer

Package Timeline

1 release. R releases are shown for context.

1.0Latest
2026-07-04 · current release
R
R 4.6.0 released · 2026-04-24

Package metadata

First published: 2026-07-04
Total releases: 1 / 1 yrs
License: GPL (>= 2) OSI
Minimum R: ≥ 4.0
Download size: not tracked yet
Installed size: not tracked yet
With dependencies: not tracked yet

Cite

Cite this package

Start here. This is the citation for the package itself.

citation("outliersHD")

CRAN DOI

https://doi.org/10.32614/CRAN.package.outliersHD

BibTeX, derived from DESCRIPTION

@Manual{outliersHD,
  title  = {outliersHD: Detection of Outliers in High Dimensional Data},
  author = {Tsagris, Michail},
  year   = {2026},
  note   = {R package version 1.0},
  doi    = {10.32614/CRAN.package.outliersHD},
  url    = {https://CRAN.R-project.org/package=outliersHD}
}

Derived from the package DESCRIPTION, not from a citation file the authors wrote. If they publish one later, prefer it.

This is the citation for the package. It is not a citation for the R Observatory.

Cite this page

Use this when the claim is about a measurement on this page.

BibTeX

@misc{robservatoryoutliersHD,
  author    = {Balamuta, James Joseph},
  title     = {{R} {Observatory}: Metrics for {outliersHD} version 1.0},
  year      = {2026},
  publisher = {HJJB, LLC},
  url       = {https://r-observatory.thecoatlessprofessor.com/packages/outliersHD},
  note      = {Data set. Data release v2026-08-05}
}

APA

Balamuta, J. J. (2026). R Observatory: Metrics for outliersHD version 1.0 [Data set]. HJJB, LLC. Data release v2026-08-05. https://r-observatory.thecoatlessprofessor.com/packages/outliersHD

RIS

TY  - DATA
AU  - Balamuta, James Joseph
TI  - R Observatory: Metrics for outliersHD version 1.0
PY  - 2026
PB  - HJJB, LLC
N1  - Data release v2026-08-05
UR  - https://r-observatory.thecoatlessprofessor.com/packages/outliersHD
ER  -

In prose

These package metrics were obtained from the R Observatory (Balamuta, 2026), data release v2026-08-05, https://r-observatory.thecoatlessprofessor.com/packages/outliersHD.

Bound to data release v2026-08-05, which is what makes the numbers on this page reproducible. See how to cite.

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