Package: abodOutlier
Title: Angle-Based Outlier Detection
Version: 0.1
Author: Jose Jimenez <jose@jimenezluna.com>
Maintainer: Jose Jimenez <jose@jimenezluna.com>
Description: 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.
Depends: cluster, R (>= 3.1.2)
License: MIT + file LICENSE
Encoding: UTF-8
Repository: https://josejimenezluna.r-universe.dev
Date/Publication: 2015-08-30 22:08:28 UTC
RemoteUrl: https://github.com/josejimenezluna/abodoutlier
RemoteRef: HEAD
RemoteSha: 416d45ffdae6456547148dd5be1eefe4ad796431
NeedsCompilation: no
Packaged: 2026-10-17 07:44:52 UTC; root