Package: isotree
Type: Package
Title: Isolation-Based Outlier Detection
Version: 0.6.1-5
Authors@R: c(
  person(given="David", family="Cortes", role=c("aut", "cre", "cph"),
         email="david.cortes.rivera@gmail.com"),
  person(given="Thibaut", family="Goetghebuer-Planchon", role="cph",
         comment="Copyright holder of included robinmap library"),
  person(given="David", family="Blackman", role="cph",
         comment="Copyright holder of original xoshiro code"),
  person(given="Sebastiano", family="Vigna", role="cph",
         comment="Copyright holder of original xoshiro code"),
  person(given="NumPy", family="Developers", role="cph",
         comment="Copyright holder of formatted ziggurat tables"),
  person(given="SciPy", family="Developers", role="cph",
         comment="Copyright holder of parts of digamma implementation"),
  person(given="Enthought", family="Inc", role="cph",
         comment="Copyright holder of parts of digamma implementation"),
  person(given="Stephen", family="Moshier", role="cph",
         comment="Copyright holder of parts of digamma implementation")
  )
Maintainer: David Cortes <david.cortes.rivera@gmail.com>
URL: https://github.com/david-cortes/isotree
BugReports: https://github.com/david-cortes/isotree/issues
Description: 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)
        <doi:10.48550/arXiv.1811.02141>), SCiForest (Liu, Ting, Zhou
        (2010) <doi:10.1007/978-3-642-15883-4_18>), fair-cut forest
        (Cortes (2021) <doi:10.48550/arXiv.2110.13402>), robust
        random-cut forest (Guha, Mishra, Roy, Schrijvers (2016)
        <http://proceedings.mlr.press/v48/guha16.html>), and
        customizable variations of them, for isolation-based outlier
        detection, clustered outlier detection, distance or similarity
        approximation (Cortes (2019) <doi:10.48550/arXiv.1910.12362>),
        isolation kernel calculation (Ting, Zhu, Zhou (2018)
        <doi:10.1145/3219819.3219990>), and imputation of missing
        values (Cortes (2019) <doi:10.48550/arXiv.1911.06646>), based
        on random or guided decision tree splitting, and providing
        different metrics for scoring anomalies based on isolation
        depth or density (Cortes (2021)
        <doi:10.48550/arXiv.2111.11639>). 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.
License: BSD_2_clause + file LICENSE
Depends: R (>= 4.3.0)
Imports: Rcpp (>= 1.0.1), jsonlite (>= 1.7.3), RhpcBLASctl, methods
Suggests: MASS, outliertree, DiagrammeR, mlbench, MLmetrics, kernlab,
        knitr, rmarkdown, kableExtra
Enhances: Matrix, SparseM
LinkingTo: Rcpp
VignetteBuilder: knitr
RoxygenNote: 7.3.3
Repository: https://david-cortes.r-universe.dev
Date/Publication: 2026-06-21 12:30:24 UTC
RemoteUrl: https://github.com/david-cortes/isotree
RemoteRef: HEAD
RemoteSha: fa5190b279654c73e82b8be5fda1d1e171f5bacd
NeedsCompilation: yes
Packaged: 2026-06-21 15:17:41 UTC; root
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),
  NumPy Developers [cph] (Copyright holder of formatted ziggurat tables),
  SciPy Developers [cph] (Copyright holder of parts of digamma
    implementation),
  Enthought Inc [cph] (Copyright holder of parts of digamma
    implementation),
  Stephen Moshier [cph] (Copyright holder of parts of digamma
    implementation)