Skip to content

UAHDataScienceO

1.0.0

Educational Outlier Detection Algorithms with Step-by-Step Tutorials

0packages depend
1.8Kdownloads / year
test coverage
13/13checks pass

Overview

About
Maintained by Andriy Protsak ProtsakFirst published 2025-02-201 releasesCRAN page ↗

Provides implementations of some of the most important outlier detection algorithms. Includes a tutorial mode option that shows a description of each algorithm and provides a step-by-step execution explanation of how it identifies outliers from the given data with the specified input parameters. References include the works of Azzedine Boukerche, Lining Zheng, and Omar Alfandi (2020) doi:10.1145/3381028, Abir Smiti (2020) doi:10.1016/j.cosrev.2020.100306, and Xiaogang Su, Chih-Ling Tsai (2011) doi:10.1002/widm.19.

Install

Health

CRAN checks
13OK
Slowest check: 1.1 min · r-oldrel-windows-x86_64
Check history
  • OK2026-03-10
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation signals are not tracked yet for this package.

Downloads

1.8K
CRAN downloads in the past year
Rank #23,096 · ~5/day · ~153/mo
UAHDataScienceO
Daily download trend is not available in this view yet.
13430 days
47290 days
1.8K1 year
Compare downloads with other packages →
Also on96 r2u26 autocran

Dependencies

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

Nothing depends on this yet.

Code & Tests

People & History

People (4)
Maintainer (1)
Author, Maintainer
Authors (3)
Copyright holders (1)
Package Timeline

1 release. R releases are shown for context.

  • R
    R 4.6.0 released · 2026-04-24
  • 1.0.0Latest
    2026-03-10 · current release
  • R
    R 4.5.0 released · 2025-04-11

Package metadata

First published
2025-02-20
Total releases
1 / 1 yrs
License
MIT + file LICENSE OSI
Download size
79 KB
Installed size
not tracked yet
With dependencies
not tracked yet
Appears in task views
Report a problem with this page →