Local Density-Based Outlier Detection R package ldbod version 0.1.2 CRAN Task View: AnomalyDetection (https://CRAN.R-project.org/view=AnomalyDetection) 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. Software Depends: R (>= 3.2.0) Imports: stats, RANN, mnormt Kristopher Williams <kristopher.williams83@gmail.com> Comprehensive R Archive Network (CRAN) Kristopher Williams GPL-3 2017-05-26 application/tgz https://CRAN.R-project.org/package=ldbod doi:10.32614/CRAN.package.ldbod