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
Repository: https://david-cortes.r-universe.dev
Date/Publication: 2026-06-21 13:49:20 UTC
RemoteUrl: https://github.com/david-cortes/outliertree
RemoteRef: HEAD
RemoteSha: 8a9987259d682c61da2ca1bf8236e0d8e3f51779
NeedsCompilation: yes
Packaged: 2026-06-24 04:42:51 UTC; root
Author: David Cortes [aut, cre]