Source: r-cran-deadwood
Standards-Version: 4.7.4
Maintainer: Debian R Packages Maintainers <r-pkg-team@alioth-lists.debian.net>
Uploaders:
 Charles Plessy <plessy@debian.org>,
Section: gnu-r
Testsuite: autopkgtest-pkg-r
Build-Depends:
 debhelper-compat (= 14),
 dh-r,
 r-base-dev,
 r-cran-rcpp,
 r-cran-quitefastmst,
 r-pkg-team-core-architecture,
Vcs-Browser: https://salsa.debian.org/r-pkg-team/r-cran-deadwood
Vcs-Git: https://salsa.debian.org/r-pkg-team/r-cran-deadwood.git
Homepage: https://cran.r-project.org/package=deadwood

Package: r-cran-deadwood
Architecture: any
Depends:
 ${R:Depends},
 ${shlibs:Depends},
 ${misc:Depends},
 r-pkg-team-core-architecture,
Recommends:
 ${R:Recommends},
Suggests:
 ${R:Suggests},
Description: Outlier Detection via Pruning Mutual Reachability Minimum Spanning Trees
 Implements an anomaly detection algorithm based on a dataset's mutual
 reachability minimum spanning tree: 'deadwood' prunes protruding tree
 segments and marks small debris as outliers; see Gagolewski (2026)
 <https://deadwood.gagolewski.com/>. More precisely, tree edges with weights
 greater than the detected elbow point are removed. All the resulting
 connected components whose sizes do not exceed a prespecified threshold are
 deemed anomalous. The use of a mutual reachability distance pulls peripheral
 observations farther away from one another. If the dataset is comprised
 of well-separated clusters of heterogeneous densities, an attempt to split
 the dataset and refine the outlierness markers will be made. The 'Python'
 version of 'deadwood' is available via 'PyPI'.