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party

1.3-22

A Laboratory for Recursive Partytioning

51packages depend
338Kdownloads / year
41.3%test coverage
1/13checks pass

Overview

About
Maintained by Torsten HothornFirst published 2005-06-24129 releasesCRAN page ↗Codeberg ↗

A computational toolbox for recursive partitioning. The core of the package is ctree(), an implementation of conditional inference trees which embed tree-structured regression models into a well defined theory of conditional inference procedures. This non-parametric class of regression trees is applicable to all kinds of regression problems, including nominal, ordinal, numeric, censored as well as multivariate response variables and arbitrary measurement scales of the covariates. Based on conditional inference trees, cforest() provides an implementation of Breiman's random forests. The function mob() implements an algorithm for recursive partitioning based on parametric models (e.g. linear models, GLMs or survival regression) employing parameter instability tests for split selection. Extensible functionality for visualizing tree-structured regression models is available. The methods are described in Hothorn et al. (2006) doi:10.1198/106186006X133933, Zeileis et al. (2008) doi:10.1198/106186008X319331 and Strobl et al. (2007) doi:10.1186/1471-2105-8-25.

Install

Health

CRAN checks
7ERROR5NOTE1OK
Failing flavors
  • ERROR r-devel-linux-x86_64-debian-clang
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Slowest check: 5.3 min · r-oldrel-macos-x86_64
Code health
Yes
Tests · ratio 1.16
41.3%
Coverage · measured lines
100%
Documentation · exports
10
Dependencies · direct
Check history
  • ERROR2026-07-25
    10 OK · 0 NOTE · 0 WARNING · 3 ERROR · 0 FAILURE
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  • NOTE2026-07-11
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  • OK2026-06-27
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • WARNING2026-06-14
    12 OK · 0 NOTE · 1 WARNING · 0 ERROR · 0 FAILURE
Show 3 earlier snapshots
  • OK2026-06-08
    12 OK · 0 NOTE · 0 WARNING · 0 ERROR · 1 FAILURE
  • ERROR2026-06-07
    12 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • OK2026-03-10
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMENoVignettesYes · dynamicpkgdown siteNoNEWSNoCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
89%
Return-value docs
69%
References docs
29%

Downloads

338K
CRAN downloads in the past year
Rank #750 · ~926/day · ~28.2K/mo
Daily download trend is not available in this view yet.
17.4K30 days
67.9K90 days
338K1 year
Compare downloads with other packages →
Also on2.6K r2u116 autocran12.6K conda_forge1.1K c2d4u

Repository

Repository practices

Upstream repositoryBeta

Repository codeberg.org/thothorn/party is linked, but repository-practices checks have not run for it yet. Checks are GitHub-only for now.

How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies
16 external dependencies (excludes base and recommended)
Depends (7)
R >= 3.0.0methodsgridstatsmvtnormmodeltoolsstrucchange
Imports (4)
LinkingTo (1)
Enhances (0)
none

Code & Tests

Datasets

People & History

People (4)
Maintainer (1)
Author, Maintainer
Authors (4)
Author, Maintainer
Author · added in 0.9-991
Package Timeline

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

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Package metadata

First published
2005-06-24
Total releases
129 / 21 yrs
License
GPL-2 OSI
Minimum R
≥ 3.0.0
Bundled data
3.5 KB / 1 file
Download size
807 KB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("party")
Hothorn, T., Hornik, K., Strobl, C., & Zeileis, A. (2026). party: A Laboratory for Recursive Partytioning (Version 1.3-22) [Computer software]. https://doi.org/10.32614/CRAN.package.party

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 party version 1.3-22 [Data set]. HJJB, LLC. Data release v2026-08-22. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-22, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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