solitude: An Implementation of Isolation Forest

Isolation forest is anomaly detection method introduced by the paper Isolation based Anomaly Detection (Liu, Ting and Zhou <doi:10.1145/2133360.2133363>).

Version: 1.1.3
Depends: R (≥ 3.5.0)
Imports: ranger (≥ 0.11.0), data.table (≥ 1.11.4), igraph (≥ 1.2.2), future.apply (≥ 0.2.0), R6 (≥ 2.4.0), lgr (≥ 0.3.4)
Suggests: tidyverse, uwot, mlbench, rsample
Published: 2021-07-29
DOI: 10.32614/CRAN.package.solitude
Author: Komala Sheshachala Srikanth [aut, cre], David Zimmermann [ctb]
Maintainer: Komala Sheshachala Srikanth <sri.teach at gmail.com>
BugReports: https://github.com/talegari/solitude/issues
License: GPL-3
URL: https://github.com/talegari/solitude
NeedsCompilation: no
Materials: NEWS
CRAN checks: solitude results

Documentation:

Reference manual: solitude.pdf

Downloads:

Package source: solitude_1.1.3.tar.gz
Windows binaries: r-devel: solitude_1.1.3.zip, r-release: solitude_1.1.3.zip, r-oldrel: solitude_1.1.3.zip
macOS binaries: r-release (arm64): solitude_1.1.3.tgz, r-oldrel (arm64): solitude_1.1.3.tgz, r-release (x86_64): solitude_1.1.3.tgz, r-oldrel (x86_64): solitude_1.1.3.tgz
Old sources: solitude archive

Reverse dependencies:

Reverse imports: fmf

Linking:

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