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deadwood  

Outlier Detection via Trimming of Mutual Reachability Minimum Spanning Trees
View on CRAN: Click here


Download and install deadwood package within the R console
Install from CRAN:
install.packages("deadwood")

Install from Github:
library("remotes")
install_github("cran/deadwood")

Install by package version:
library("remotes")
install_version("deadwood", "0.9.0-2")



Attach the package and use:
library("deadwood")
Maintained by
Marek Gagolewski
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-03-06
Latest Update: 2026-03-06
Description:
Implements an anomaly detection algorithm based on mutual reachability minimum spanning trees: 'deadwood' trims protruding tree segments and marks small debris as outliers; see Gagolewski (2026) <https://deadwood.gagolewski.com/>. More precisely, the use of a mutual reachability distance pulls peripheral points farther away from each other.Tree edges with weights beyond the detected elbow point are removed. All the resulting connected components whose sizes are smaller than a given threshold are deemed anomalous. The 'Python' version of 'deadwood' is available via 'PyPI'.
How to cite:
Marek Gagolewski (2026). deadwood: Outlier Detection via Trimming of Mutual Reachability Minimum Spanning Trees. R package version 0.9.0-2, https://cran.r-project.org/web/packages/deadwood. Accessed 21 Aug. 2026.
Previous versions and publish date:
(2026-07-09 07:31), 0.9.0-2 (2026-02-20 11:50)
Other packages that cited deadwood R package
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Complete documentation for deadwood
Functions, R codes and Examples using the deadwood R package
Full deadwood package functions and examples
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