Package: ldbod
Type: Package
Title: Local Density-Based Outlier Detection
Version: 0.1.2
Author: Kristopher Williams
Maintainer: Kristopher Williams <kristopher.williams83@gmail.com>
Description: Flexible procedures to compute local density-based outlier
        scores for ranking outliers. Both exact and approximate nearest
        neighbor search can be implemented, while also accommodating
        multiple neighborhood sizes and four different local
        density-based methods. It allows for referencing a random
        subsample of the input data or a user specified reference data
        set to compute outlier scores against, so both unsupervised and
        semi-supervised outlier detection can be implemented.
Depends: R (>= 3.2.0)
Imports: stats, RANN, mnormt
License: GPL-3
URL: https://github.com/kwilliams83/ldbod
RoxygenNote: 6.0.1
Repository: https://kwilliams83.r-universe.dev
Date/Publication: 2017-05-26 03:43:53 UTC
RemoteUrl: https://github.com/kwilliams83/ldbod
RemoteRef: HEAD
RemoteSha: a93a70c7db233500dbff3602e3caa9997292433b
NeedsCompilation: no
Packaged: 2026-09-30 07:48:28 UTC; root