Package: ldbod
Type: Package
Title: Local Density-Based Outlier Detection
Version: 0.1.0
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
  k values and four different local density-based methods. It allows for referencing a random subsample
  of 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 (>= 3.1.0)
Imports: stats, RANN, mnormt
License: GPL-3
URL: https://github.com/kwilliams83/ldbod
LazyData: TRUE
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-09-14 07:02:04 UTC; kwilliams
Repository: CRAN
Date/Publication: 2016-09-14 18:50:59
