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ICSOutlier

0.4-1Package record

Outlier Detection Using Invariant Coordinate Selection

1packages dependsuggested by 2
64.9Kdownloads / year
65.9%test coverage
13/13flavors OK

Overview

About

Multivariate outlier detection is performed using invariant coordinates where the package offers different methods to choose the appropriate components. ICS is a general multivariate technique with many applications in multivariate analysis. ICSOutlier offers a selection of functions for automated detection of outliers in the data based on a fitted ICS object or by specifying the dataset and the scatters of interest. The current implementation targets data sets with only a small percentage of outliers.

Changes in 0.4-1
  • fixing some broken links in the documentation

From NEWS in the release

Install

Health

CRAN checks
13OK
Slowest check: 4.0 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK14 OK2026-04-06
  • ERROR13 OK, 1 ERROR2026-04-04
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 0.4-1
READMENoVignettesNoNEWSYes · 100% structured · mentions 0.4-1Citation fileYes · cites a publicationWebsitenot declared in DESCRIPTION
Cites an R Journal article
Help pages
21includes a package overview page
Examples that run
100%14 run in a plain check
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
62%

Downloads

64.9K
CRAN downloads in the past year
Rank #1,661 · ~178/day · ~5.4K/mo
Daily download trend is not available in this view yet.
4K30 days
13.2K90 days
64.9K1 year
Compare downloads with other packages →
Also on134 r2u6 autocran

Dependencies

Declared dependencies
6 external dependencies (excludes base and recommended)

Installing ICSOutlier adds 10 packages (5 with compiled code, 8.1 MB of source tarballs). Heaviest: survey 2.3 MB, Rcpp 1.8 MB, RcppArmadillo 1.0 MB.

Depends (4)
R >= 3.0.0methodsICSmoments
Imports (4)
graphicsgrDevicesmvtnormparallel
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
1direct
0indirect
Depends 1
Suggested by 2
Depends, Imports or LinkingTo, most downloaded first
Suggests, most downloaded first

Datasets

People & History

People (3)
Author, Maintainer since 0.2-0 (2016)
Releases (5)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • 0.4-1Latest
    record
    2025-08-28 · current release · diff ↗
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • 0.4-0
    record
    2023-12-13 · diff ↗ ·
    added 5 exports
    ICS_outlier, comp_norm_test, comp_simu_test, dist_simu_test, ics_distances
  • 0.3-1
    record
    2023-09-18 · diff ↗
  • 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
  • R
    R 3.6.0 released · 2019-04-26
  • R
    R 3.5.0 released · 2018-04-23
  • 0.3-0
    record
    2018-02-03 · diff ↗
  • R
    R 3.4.0 released · 2017-04-21
  • 0.2-0
    record
    2016-12-20
  • R
    R 3.3.0 released · 2016-05-03

Package metadata

First published
2016-12-20
Total releases
5 / 10 yrs
License
GPL (>= 2) OSI
Minimum R
≥ 3.0.0
Bundled data
741 KB / 3 files
Download size
782 KB
Appears in task views

Cite

Cite this package

Run in R for the authors' entry:

citation("ICSOutlier")

The package provides a citation file, so citation() returns the authors' own entry.

It points to 10.32614/rj-2018-034.

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 ICSOutlier version 0.4-1 [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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