Package: abodOutlier 0.1

abodOutlier: Angle-Based Outlier Detection

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.

Authors:Jose Jimenez <[email protected]>

abodOutlier_0.1.tar.gz
abodOutlier_0.1.zip(r-4.5)abodOutlier_0.1.zip(r-4.4)abodOutlier_0.1.zip(r-4.3)
abodOutlier_0.1.tgz(r-4.5-any)abodOutlier_0.1.tgz(r-4.4-any)abodOutlier_0.1.tgz(r-4.3-any)
abodOutlier_0.1.tar.gz(r-4.5-noble)abodOutlier_0.1.tar.gz(r-4.4-noble)
abodOutlier_0.1.tgz(r-4.4-emscripten)abodOutlier_0.1.tgz(r-4.3-emscripten)
abodOutlier.pdf |abodOutlier.html
abodOutlier/json (API)

# Install 'abodOutlier' in R:
install.packages('abodOutlier', repos = c('https://josejimenezluna.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/josejimenezluna/abodoutlier/issues

On CRAN:

Conda-Forge:

3.56 score 6 stars 12 scripts 311 downloads 1 exports 1 dependencies

Last updated 10 years agofrom:416d45ffda. Checks:9 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 05 2025
R-4.5-winOKMar 05 2025
R-4.5-macOKMar 05 2025
R-4.5-linuxOKMar 05 2025
R-4.4-winOKMar 05 2025
R-4.4-macOKMar 05 2025
R-4.4-linuxOKMar 05 2025
R-4.3-winOKMar 05 2025
R-4.3-macOKMar 05 2025

Exports:abod

Dependencies:cluster