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partition

0.2.2

Agglomerative Partitioning Framework for Dimension Reduction

2packages depend
4Kdownloads / year
95.8%test coverage
13/13checks pass

Overview

About
Maintained by Malcolm BarrettFirst published 2019-05-178 releasesCRAN page ↗GitHub ↗

A fast and flexible framework for agglomerative partitioning. 'partition' uses an approach called Direct-Measure-Reduce to create new variables that maintain the user-specified minimum level of information. Each reduced variable is also interpretable: the original variables map to one and only one variable in the reduced data set. 'partition' is flexible, as well: how variables are selected to reduce, how information loss is measured, and the way data is reduced can all be customized. 'partition' is based on the Partition framework discussed in Millstein et al. (2020) doi:10.1093/bioinformatics/btz661.

Install

Health

CRAN checks
13OK
Slowest check: 8.7 min · r-oldrel-windows-x86_64
Code health
Yes
Tests · ratio 0.26
95.8%
Coverage · measured lines
98%
Documentation · exports
15
Dependencies · direct
Check history
  • OK2026-08-05
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-08-01
    12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • OK2026-05-02
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-04-22
    12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-04-18
    11 OK · 2 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
Show 1 earlier snapshots
  • NOTE2026-03-10
    12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMEYes · 380 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
99%
Return-value docs
100%
References docs
3%

Downloads

4K
CRAN downloads in the past year
Rank #11,837 · ~11/day · ~336/mo
Daily download trend is not available in this view yet.
23430 days
83690 days
4K1 year
Compare downloads with other packages →
Also on442 r2u19 autocran

Repository

Repository
37Stars
4Forks
2Open issues
0Open PRs
9Releases
264Commits
4Contributors
rdimensionality-reductiondata-reductionpartitional-clustering
264 commits · Last activity 2024-11-10

Stars over time

2025-06-23 · 372026-07-07 · 37

Repository practices

Upstream repositoryBeta

6 development-tooling and community-health practices detected across 6 families in the upstream repository

Checks run against github.com/uscbiostats/partition on 2026-08-16.

Continuous integration (1)
GitHub Actions
Reproducibility and dev environment (1)
data-raw/
Docs source (1)
README.Rmd
Lint, format, editor (1)
RStudio project
Show all practices
Coverage (1)
Codecov
Governance and community (1)
Issue templates
How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies
24 external dependencies (excludes base and recommended)
Depends (1)
R >= 3.3.0
LinkingTo (2)
Enhances (0)
none
Reverse dependencies
2direct
0indirect

Code & Tests

Datasets

People & History

People (3)
Maintainer (1)
Author, Maintainer
Authors (3)
Author, Maintainer
Author · added in 0.2.0
Package Timeline

8 releases. Pick two to compare their code metrics. R releases are shown for context.

  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • 0.2.2Latest
    2024-10-09 · current release · diff ↗
  • 0.2.1
    2024-05-22 · diff ↗
  • R
    R 4.4.0 released · 2024-04-24
  • 0.2.0
    2024-01-24 · diff ↗
  • R
    R 4.3.0 released · 2023-04-21
  • R
    R 4.2.0 released · 2022-04-22
  • 0.1.4
    2021-10-05 · diff ↗
  • R
    R 4.1.0 released · 2021-05-18
  • 0.1.3
    2021-01-07 · diff ↗
  • 0.1.2
    2020-05-24 · diff ↗
  • R
    R 4.0.0 released · 2020-04-24
  • 0.1.1
    2019-12-12 · diff ↗
  • 0.1.0
    2019-05-17
  • R
    R 3.6.0 released · 2019-04-26

Package metadata

First published
2019-05-17
Total releases
8 / 7 yrs
License
MIT + file LICENSE OSI
Minimum R
≥ 3.3.0
Bundled data
117 KB / 5 files
Download size
1.2 MB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("partition")
Barrett, M., Millstein, J., & Queen, K. (2024). partition: Agglomerative Partitioning Framework for Dimension Reduction (Version 0.2.2) [Computer software]. https://doi.org/10.32614/CRAN.package.partition

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

Cite the R Observatory

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

APA

Balamuta, J. J. (2026). R Observatory: Metrics for partition version 0.2.2 [Data set]. HJJB, LLC. Data release v2026-08-18. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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