Package: lookout
Type: Package
Title: Leave One Out Kernel Density Estimates for Outlier Detection
Version: 2.0.1
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 kernel density estimates is computed
    using persistent homology, a technique in topological data analysis. Using
    peak-over-threshold method, a generalized Pareto distribution is fitted to
    the log of leave-one-out kde values to identify outliers.
License: GPL-3
Encoding: UTF-8
RoxygenNote: 7.3.3
BugReports: https://github.com/sevvandi/lookout/issues
Imports: evd, ggplot2, mlpack, RANN, 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
NeedsCompilation: no
Packaged: 2026-03-26 07:53:55 UTC; kan092
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]
Repository: CRAN
Date/Publication: 2026-03-26 13:30:02 UTC
Built: R 4.6.0; ; 2026-04-29 21:09:39 UTC; unix
