Package: outliertree
Type: Package
Title: Explainable Outlier Detection Through Decision Tree Conditioning
Version: 1.10.0-1
Authors@R: person(given = "David",
                  family = "Cortes",
                  role = c("aut", "cre"),
                  email = "david.cortes.rivera@gmail.com")
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) <doi:10.48550/arXiv.2001.00636>.
  Loosely based on the 'GritBot' <https://www.rulequest.com/gritbot-info.html> software.
License: GPL (>= 3)
Imports: Rcpp (>= 1.0.1), methods
Depends: R (>= 4.3.0)
Suggests: knitr, rmarkdown, kableExtra, data.table
LinkingTo: Rcpp, Rcereal
LazyData: true
VignetteBuilder: knitr
RoxygenNote: 7.3.1
NeedsCompilation: yes
Packaged: 2026-03-04 17:20:09 UTC; david
Author: David Cortes [aut, cre]
Repository: CRAN
Date/Publication: 2026-03-05 09:00:02 UTC
Built: R 4.7.0; x86_64-w64-mingw32; 2026-06-15 00:58:00 UTC; windows
Archs: x64
