R Observatory: Metrics for lumbermark version 0.9.1

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

lumbermark

0.9.1Package record

Resistant Clustering via Chopping Up Mutual Reachability Minimum Spanning Trees

0packages dependsuggested by 1

3Kdownloads / year

–test coverage

13/13flavors OK

Overview

About

Maintained by Marek GagolewskiCRAN page ↗GitHub ↗Website ↗Issues ↗

Implements a fast and resistant divisive clustering algorithm which identifies a specified number of clusters: 'lumbermark' iteratively chops off sizeable limbs that are joined by protruding segments of a dataset's mutual reachability minimum spanning tree (Gagolewski, 2026 DOI:10.48550/arXiv.2604.07143). The use of a mutual reachability distance pulls peripheral points farther away from each other. It is a viable alternative to the 'HDBSCAN*' algorithm and can be viewed as a divisive version of Genie. The resulting partitions of different granularities are properly nested. When combined with the 'deadwood' package, it can act as an outlier detector. The 'Python' version of 'lumbermark' is available via 'PyPI'.

Install

R (CRAN)pak (dev)Ubuntu (r2u)Fedora (COPR)openSUSE (OBS)

install.packages("lumbermark", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

if (!requireNamespace("pak", quietly = TRUE))
  install.packages("pak", repos = "https://cloud.r-project.org/")
pak::pak("gagolews/lumbermark")

Development version from gagolews/lumbermark. Installs pak first if it is not already available.

Release

# enable cranapt (r2u) if it is not already set up, then install
grep -rqs r2u.stat.illinois.edu /etc/apt/sources.list /etc/apt/sources.list.d/ \
  || curl -fsSL https://raw.githubusercontent.com/eddelbuettel/r2u/master/inst/scripts/add_cranapt_noble.sh | sudo bash
sudo apt install -y r-cran-lumbermark

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled. We list this channel from recorded r2u download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

bspm (used by r2u) also needs make: sudo apt install make

# enable the iucar/cran COPR if it is not already present, then install
ls /etc/yum.repos.d/*iucar*cran*.repo >/dev/null 2>&1 \
  || sudo dnf copr enable -y iucar/cran
sudo dnf install -y R-CRAN-lumbermark

RPMs from the iucar/cran COPR, rebuilt from CRAN.

For install.packages() integration in R, also: sudo dnf install R-CoprManager

# add the autoCRAN OBS repo (Tumbleweed) if it is missing, then install
zypper -q lr | grep -qi autoCRAN \
  || sudo zypper addrepo https://download.opensuse.org/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/devel:languages:R:autoCRAN.repo
sudo zypper install -y R-lumbermark

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed). We list this channel from recorded autoCRAN download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

Health

CRAN checks

13OK

CRAN check page ↗

Slowest check: 2.9 min · r-devel-windows-x86_64

Status changes

OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK14 OK2026-04-22
ERROR13 OK, 1 ERROR2026-04-18
OK5 OK2026-03-17

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 0.9.1

README· In the repository, left out of the releaseVignettesNoNEWSYes · 100% structuredCitation fileNoWebsiteYes

Help pages: 2 (1 internal)includes a package overview page
Examples that run: 100%1 run in a plain check
Exported functions with examples: 100%
Documented parameters: 100%
Return-value docs: 100%
Help pages citing references: 50%

How these are measured

Downloads

3K

CRAN downloads in the past year

Rank #10,268 · ~8/day · ~253/mo

Releases R versions

Daily download trend is not available in this view yet.

43930 days

99590 days

3K1 year

Compare downloads with other packages →

Also on184 r2u3 autocran

How downloads are counted

Repository

gagolews/lumbermark ↗Account: gagolews

0Stars

0Forks

0Open issues

0Open PRs

2Releases

48Commits

1Commit identities

anomaly-detectioncluster-analysisclusteringclustering-algorithmhdbscanmachine-learningmachine-learning-algorithmsminimum-spanning-tree

48 commits · Last activity 2026-10-01

Responsiveness

not measured

Releases over time

2026-03-09 · 12026-10-01 · 2

How these are measured

PracticesBeta

5 development-tooling and community-health practices detected across 4 families in the upstream repository

Checks run against github.com/gagolews/lumbermark on 2026-10-21.

Continuous integration (2)

GitHub ActionsR CMD check workflow

The R CMD check workflow runs on Linux

Governance and community (1)

Code of conduct

Docs source (1)

GitHub Pages site last deployed 2026-10-01

Reproducibility and dev environment (1)

Makefile

How this is detected·Detection ruleset v4 (2026-10-20)

Dependencies

Declared dependencies

3 external dependencies (excludes base and recommended)

Installing lumbermark adds 3 packages (3 with compiled code, 1.9 MB of source tarballs). Heaviest: Rcpp 1.8 MB, quitefastmst 42 KB, deadwood 32 KB.

Depends (0)

none

Imports (2)

Rcpp deadwood

LinkingTo (1)

Rcpp

Suggests (1)

datasets

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Suggested by 1

Suggests, most downloaded first

evoFE

How these are counted

Code & Tests

People & History

People (1)

Marek Gagolewski

Releases (2)

Pick two releases to compare their code metrics.

0.9.1Latest
record
2026-10-01 · current release · diff ↗
R
R 4.6.0 released · 2026-04-24
0.9.0
record
2026-03-16
R
R 4.5.0 released · 2025-04-11

Package metadata

First published: 2026-03-16
Total releases: 2 / 1 yrs
License: AGPL-3 OSI
Download size: 13 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("lumbermark")

Format

Gagolewski, M. (2026). lumbermark: Resistant Clustering via Chopping Up Mutual Reachability Minimum Spanning Trees (Version 0.9.1) [Computer software]. https://doi.org/10.32614/CRAN.package.lumbermark

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for lumbermark version 0.9.1 [Data set]. HJJB, LLC. Data release v2026-10-23. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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