Package: isotree
Type: Package
Title: Isolation-Based Outlier Detection
Version: 0.3.9
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")
  )
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) <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.
License: BSD_2_clause + file LICENSE
Imports: Rcpp (>= 1.0.1)
Suggests: MASS, outliertree, jsonlite
Enhances: Matrix, SparseM
LinkingTo: Rcpp
RoxygenNote: 7.1.2
NeedsCompilation: yes
Packaged: 2021-10-23 17:05:48 UTC; david
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)
Repository: CRAN
Date/Publication: 2021-10-23 17:40:02 UTC
