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
LazyData: TRUE
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2017-05-26 03:52:35 UTC; kwilliams
Repository: CRAN
Date/Publication: 2017-05-26 06:04:25 UTC
Built: R 4.6.0; ; 2026-04-25 19:59:22 UTC; unix
