isotree: Isolation-Based Outlier Detection

Fast and multi-threaded implementation of isolation forest (Liu, Ting, Zhou (2008) <doi:10.1109/ICDM.2008.17>), extended isolation forest (Hariri, Kind, Brunner (2018) <arXiv:1811.02141>), SCiForest (Liu, Ting, Zhou (2010) <doi:10.1007/978-3-642-15883-4_18>), and fair-cut forest (Cortes (2019) <arXiv:1911.06646>), for isolation-based outlier detection, clustered outlier detection, distance or similarity approximation (Cortes (2019) <arXiv:1910.12362>), and imputation of missing values (Cortes (2019) <arXiv:1911.06646>), based on random or guided decision tree splitting. Provides simple heuristics for fitting the model to categorical columns and handling missing data, and offers options for varying between random and guided splits, and for using different splitting criteria.

Version: 0.3.9
Imports: Rcpp (≥ 1.0.1)
LinkingTo: Rcpp
Suggests: MASS, outliertree, jsonlite
Enhances: Matrix, SparseM
Published: 2021-10-23
Author: David Cortes [aut, cre, cph], Thibaut Goetghebuer-Planchon [cph] (Copyright holder of included robinmap library), David Blackman [cph] (Copyright holder of original Xoshiro code), Sebastiano Vigna [cph] (Copyright holder of original Xoshiro code)
Maintainer: David Cortes <david.cortes.rivera at>
License: BSD_2_clause + file LICENSE
NeedsCompilation: yes
In views: MissingData
CRAN checks: isotree results


Reference manual: isotree.pdf


Package source: isotree_0.3.9.tar.gz
Windows binaries: r-devel:, r-devel-UCRT:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): isotree_0.3.9.tgz, r-release (x86_64): isotree_0.3.9.tgz, r-oldrel: isotree_0.3.9.tgz
Old sources: isotree archive


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