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outliertree  

Explainable Outlier Detection Through Decision Tree Conditioning
View on CRAN: Click here


Download and install outliertree package within the R console
Install from CRAN:
install.packages("outliertree")

Install from Github:
library("remotes")
install_github("cran/outliertree")

Install by package version:
library("remotes")
install_version("outliertree", "1.10.0")



Attach the package and use:
library("outliertree")
Maintained by
David Cortes
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-07-31
Latest Update: 2022-08-06
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) . Loosely based on the 'GritBot' software.
How to cite:
David Cortes (2019). outliertree: Explainable Outlier Detection Through Decision Tree Conditioning. R package version 1.10.0, https://cran.r-project.org/web/packages/outliertree. Accessed 22 Dec. 2024.
Previous versions and publish date:
1.0.1 (2019-08-19 19:30), 1.0.2 (2019-08-28 23:10), 1.0.4 (2019-09-02 16:40), 1.0 (2019-07-31 10:30), 1.1.2 (2020-01-09 23:10), 1.1.3 (2020-01-12 15:50), 1.2.0 (2020-04-19 21:10), 1.3.0 (2020-06-10 17:50), 1.3.1 (2020-12-11 19:00), 1.3.4 (2021-01-18 06:10), 1.6.0 (2021-03-15 01:40), 1.7.1 (2021-04-16 19:40), 1.7.2 (2021-05-17 23:40), 1.7.3 (2021-07-16 19:10), 1.7.4 (2021-08-22 10:40), 1.7.6-1 (2021-10-29 19:10), 1.7.6 (2021-09-25 19:10), 1.8.1-1 (2022-08-06 22:00), 1.8.1 (2022-02-17 18:32), 1.8.2 (2023-11-21 22:50), 1.9.0 (2024-02-09 22:40)
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