abodOutlier
0.1Angle-Based Outlier Detection
Overview
Performs angle-based outlier detection on a given dataframe. Three methods are available, a full but slow implementation using all the data that has cubic complexity, a fully randomized one which is way more efficient and another using k-nearest neighbours. These algorithms are specially well suited for high dimensional data outlier detection.
Install
Health
- NOTE r-devel-linux-x86_64-debian-clang
- NOTE r-devel-linux-x86_64-debian-gcc
- NOTE2026-03-109 OK · 5 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 100%
- Documented parameters
- not tracked
- Return-value docs
- not tracked
- References docs
- 50%
Downloads
Dependencies
Nothing depends on this yet.
Code & Tests
People & History
Author records are not tracked yet for this package.
1 release. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- 0.1Latest2026-03-10 · current release
- RR 4.5.0 released · 2025-04-11
Package metadata
- First published
- 2015-08-31
- Total releases
- 1 / 11 yrs
- License
- MIT + file LICENSE OSI
- Minimum R
- ≥ 3.1.2
- Download size
- 3.1 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet
Cite
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