DESCRIPTION

Package: lookout
Type: Package
Title: Leave One Out Kernel Density Estimates for Outlier Detection
Version: 0.1.5
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
LazyData: true
RoxygenNote: 7.3.1
Imports: 
    TDAstats,
    evd,
    RANN,
    ggplot2,
    tidyr
Suggests: 
    knitr,
    rmarkdown
URL: https://sevvandi.github.io/lookout/