Package: outliertree
Type: Package
Title: Explainable Outlier Detection Through Decision Tree Conditioning
Version: 1.8.1-1
Author: David Cortes
Maintainer: David Cortes <david.cortes.rivera@gmail.com>
URL: https://github.com/david-cortes/outliertree
BugReports: https://github.com/david-cortes/outliertree/issues
Description: Outlier detection method that flags suspicious values within observations,
  constrasting them against the normal values in a user-readable format, potentially
  describing conditions within the data that make a given outlier more rare.
  Full procedure is described in Cortes (2020) <arXiv:2001.00636>.
  Loosely based on the 'GritBot' <https://www.rulequest.com/gritbot-info.html> software.
License: GPL (>= 3)
Imports: Rcpp (>= 1.0.1)
Depends: R (>= 3.5.0)
Suggests: knitr, rmarkdown, kableExtra, data.table
LinkingTo: Rcpp, Rcereal
LazyData: true
VignetteBuilder: knitr
RoxygenNote: 7.1.2
NeedsCompilation: yes
Packaged: 2022-07-27 18:40:52 UTC; david
Repository: CRAN
Date/Publication: 2022-08-06 20:00:02 UTC
Built: R 4.2.3; x86_64-w64-mingw32; 2023-11-20 02:03:01 UTC; windows
ExperimentalWindowsRuntime: ucrt
Archs: x64
