Package: lookout
Type: Package
Title: Leave One Out Kernel Density Estimates for Outlier Detection
Version: 2.0.2.9000
Authors@R: c(
  person("Sevvandi", "Kandanaarachchi", email = "sevvandik@gmail.com",
  role = c("aut", "cre"), comment = c(ORCID = "0000-0002-0337-0395")),
  person("Rob", "Hyndman", email = "rob.hyndman@monash.edu",
  role = c("aut"), comment = c(ORCID = "0000-0002-2140-5352")),
  person("Chris", "Fraley", role = "ctb", email = "fraley@u.washington.edu")
 )
Maintainer: Sevvandi Kandanaarachchi <sevvandik@gmail.com>
Description: Outlier detection using leave-one-out kernel density
        estimates and extreme value theory. The bandwidth for the
        kernel density estimates is computed from the edge lengths of
        the Euclidean minimum spanning tree of the data. Using the
        peak-over-threshold method, a generalized Pareto distribution
        is fitted to the negative log of the leave-one-out kernel
        density estimates to identify outliers. See Kandanaarachchi and
        Hyndman (2022) <doi:10.1080/10618600.2021.2000425> and Hyndman,
        Kandanaarachchi and Turner (2026)
        <doi:10.48550/arXiv.2603.22636>.
License: GPL-3
Encoding: UTF-8
Roxygen: list(markdown = TRUE)
BugReports: https://github.com/sevvandi/lookout/issues
Depends: R (>= 4.1.0)
Imports: dbscan, evd, ggplot2, mlpack, robustbase, stats, tidyr
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
URL: https://sevvandi.github.io/lookout/,
        https://github.com/sevvandi/lookout
Config/testthat/edition: 3
Config/roxygen2/version: 8.1.0
Config/pak/sysreqs: libicu-dev
Repository: https://robjhyndman.r-universe.dev
Date/Publication: 2026-09-18 03:52:15 UTC
RemoteUrl: https://github.com/sevvandi/lookout
RemoteRef: HEAD
RemoteSha: 3ae6ac40241afceed7dea5f4d82a6dee38ca6f00
NeedsCompilation: no
Packaged: 2026-10-18 06:28:07 UTC; root
Author: Sevvandi Kandanaarachchi [aut, cre] (ORCID:
    <https://orcid.org/0000-0002-0337-0395>),
  Rob Hyndman [aut] (ORCID: <https://orcid.org/0000-0002-2140-5352>),
  Chris Fraley [ctb]