Package: lookout
Type: Package
Title: Leave One Out Kernel Density Estimates for Outlier Detection
Version: 0.1.4
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: 7.2.1
Imports: TDAstats, evd, RANN, ggplot2, tidyr
Suggests: knitr, rmarkdown
URL: https://sevvandi.github.io/lookout/
NeedsCompilation: no
Packaged: 2022-10-13 23:23:55 UTC; kan092
Author: Sevvandi Kandanaarachchi [aut, cre]
    (<https://orcid.org/0000-0002-0337-0395>),
  Rob Hyndman [aut] (<https://orcid.org/0000-0002-2140-5352>),
  Chris Fraley [ctb]
Repository: CRAN
Date/Publication: 2022-10-14 00:10:02 UTC
Built: R 4.1.2; ; 2022-10-14 11:20:10 UTC; unix
