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-4.7-any)abodOutlier_0.1.zip(r-4.6-any)abodOutlier_0.1.zip(r-4.5-any)
abodOutlier_0.1.tgz(r-4.6-any)abodOutlier_0.1.tgz(r-4.5-any)
abodOutlier_0.1.tar.gz(r-4.7-any)abodOutlier_0.1.tar.gz(r-4.6-any)
abodOutlier_0.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
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:

3.68 score 6 stars 16 scripts 447 downloads 1 exports 1 dependencies

Last updated from:416d45ffda. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK99
source / vignettesOK126
linux-releaseOK108
macos-releaseOK173
macos-oldrelOK146
windows-develOK52
windows-releaseOK57
windows-oldrelOK53
wasm-releaseOK72

Exports:abod

Dependencies:cluster