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:
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-4.4-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
Last updated 9 years agofrom:416d45ffda. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 05 2024 |
R-4.5-win | OK | Nov 05 2024 |
R-4.5-linux | OK | Nov 05 2024 |
R-4.4-win | OK | Nov 05 2024 |
R-4.4-mac | OK | Nov 05 2024 |
R-4.3-win | OK | Nov 05 2024 |
R-4.3-mac | OK | Nov 05 2024 |
Exports:abod
Dependencies:cluster
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Angle-Based Outlier Factor | abod |
Angle-based outlier detection | abodoutlier |