CRAN/E | outliertree

outliertree

Explainable Outlier Detection Through Decision Tree Conditioning

Installation

About

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) . Loosely based on the 'GritBot' software.

github.com/david-cortes/outliertree
Bug report File report

Key Metrics

Version 1.9.0
R ≥ 4.3.0
Published 2024-02-09 246 days ago
Needs compilation? yes
License GPL (≥ 3)
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Maintainer

Maintainer

David Cortes

Authors

David Cortes

Material

Reference manual
Package source

Vignettes

Explainable Outlier Detection in Titanic dataset
Introducing OutlierTree

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

outliertree archive

Depends

R ≥ 4.3.0

Imports

Rcpp ≥ 1.0.1
methods

Suggests

knitr
rmarkdown
kableExtra
data.table

LinkingTo

Rcpp
Rcereal

Reverse Imports

bagged.outliertrees
itsdm

Reverse Suggests

isotree