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model4you

0.9-9

Stratified and Personalised Models Based on Model-Based Trees and Forests

0packages depend
6.2Kdownloads / year
68.4%test coverage
13/13checks pass

Overview

About
Maintained by Heidi SeiboldFirst published 2018-01-169 releasesCRAN page ↗

Model-based trees for subgroup analyses in clinical trials and model-based forests for the estimation and prediction of personalised treatment effects (personalised models). Currently partitioning of linear models, lm(), generalised linear models, glm(), and Weibull models, survreg(), is supported. Advanced plotting functionality is supported for the trees and a test for parameter heterogeneity is provided for the personalised models. For details on model-based trees for subgroup analyses see Seibold, Zeileis and Hothorn (2016) doi:10.1515/ijb-2015-0032; for details on model-based forests for estimation of individual treatment effects see Seibold, Zeileis and Hothorn (2017) doi:10.1177/0962280217693034.

Install

Health

CRAN checks
13OK
Slowest check: 9.4 min · r-oldrel-macos-x86_64
Code health
Yes
Tests · ratio 0.54
68.4%
Coverage · measured lines
100%
Documentation · exports
10
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
  • OK2026-07-14
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-07-11
    9 OK · 4 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • OK2026-06-09
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Show 2 earlier snapshots
  • ERROR2026-06-08
    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
READMENoVignettesNopkgdown siteNoNEWSNoCode of conductNoContributing guideNo
Examples that run
93%
Documented parameters
93%
Return-value docs
58%
References docs
0%

Downloads

6.2K
CRAN downloads in the past year
Rank #7,958 · ~17/day · ~513/mo
Daily download trend is not available in this view yet.
29730 days
1.1K90 days
6.2K1 year
Compare downloads with other packages →
Also on130 r2u14 autocran67 c2d4u

Dependencies

Declared dependencies
13 external dependencies (excludes base and recommended)
Depends (3)
R >= 3.1.0partykitgrid
Imports (8)
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

People & History

People (3)
Maintainer (1)
Author, Maintainer
Authors (3)
Author, Maintainer
Package Timeline

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

  • R
    R 4.6.0 released · 2026-04-24
  • 0.9-9Latest
    2026-02-12 · current release · diff ↗
  • unarchivedReturned to CRAN
    2026-02-12
  • archivedRemoved from CRAN
    2025-12-13
    issues were not corrected despite reminders
  • R
    R 4.5.0 released · 2025-04-11
  • 0.9-8
    2024-11-08 · diff ↗
  • R
    R 4.4.0 released · 2024-04-24
  • R
    R 4.3.0 released · 2023-04-21
  • R
    R 4.2.0 released · 2022-04-22
  • R
    R 4.1.0 released · 2021-05-18
  • 0.9-7
    2021-01-20 · diff ↗
  • 0.9-6
    2020-11-25 · diff ↗
  • R
    R 4.0.0 released · 2020-04-24
  • 0.9-5
    2020-02-19 · diff ↗
  • unarchivedReturned to CRAN
    2020-02-19
  • archivedRemoved from CRAN
    2019-12-18
    check problems were not corrected in time MKL and OpenBLAS
Show 7 earlier events
  • R
    R 3.6.0 released · 2019-04-26
  • 0.9-3
    2018-11-12 · diff ↗
  • 0.9-2
    2018-06-15 · diff ↗
  • R
    R 3.5.0 released · 2018-04-23
  • 0.9-1
    2018-02-08 · diff ↗
  • 0.9-0
    2018-01-16
  • R
    R 3.4.0 released · 2017-04-21

Package metadata

First published
2018-01-16
Total releases
9 / 8 yrs
License
GPL-2 | GPL-3 OSI
Minimum R
≥ 3.1.0
Download size
54 KB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("model4you")
Seibold, H., Hothorn, T., & Zeileis, A. (2026). model4you: Stratified and Personalised Models Based on Model-Based Trees and Forests (Version 0.9-9) [Computer software]. https://doi.org/10.32614/CRAN.package.model4you

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 model4you version 0.9-9 [Data set]. HJJB, LLC. Data release v2026-08-16. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-16, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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