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DESCRIPTION
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DESCRIPTION
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Package: outliertree
Type: Package
Title: Explainable Outlier Detection Through Decision Tree Conditioning
Version: 1.10.0
Authors@R: person(given = "David",
family = "Cortes",
role = c("aut", "cre"),
email = "[email protected]")
Maintainer: David Cortes <[email protected]>
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