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CIMTx

1.2.0

Causal Inference for Multiple Treatments with a Binary Outcome

0packages depend
3.4Kdownloads / year
test coverage
11/13checks pass

Overview

About
Maintained by Jiayi JiFirst published 2020-04-156 releasesCRAN page ↗

Different methods to conduct causal inference for multiple treatments with a binary outcome, including regression adjustment, vector matching, Bayesian additive regression trees, targeted maximum likelihood and inverse probability of treatment weighting using different generalized propensity score models such as multinomial logistic regression, generalized boosted models and super learner. For more details, see the paper by Hu et al. doi:10.1177/0962280220921909.

Install

Health

CRAN checks
2NOTE11OK
Failing flavors
  • NOTE r-devel-linux-x86_64-fedora-clang
  • NOTE r-devel-linux-x86_64-fedora-gcc
Slowest check: 3.6 min · r-oldrel-windows-x86_64
Code health
None
Tests · ratio 0.00
not tracked
Coverage
100%
Documentation · exports
19
Dependencies · direct
Check history
  • NOTE2026-03-10
    12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMENoVignettesNopkgdown siteNoNEWSNoCode of conductNoContributing guideNo
Examples that run
68%
Documented parameters
100%
Return-value docs
100%
References docs
68%

Downloads

3.4K
CRAN downloads in the past year
Rank #11,341 · ~9/day · ~281/mo
Daily download trend is not available in this view yet.
24330 days
87990 days
3.4K1 year
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Also on104 r2u4 autocran

Dependencies

Declared dependencies
17 external dependencies (excludes base and recommended)
Depends (0)
none
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

People & History

People (4)
Maintainer (1)
Author, Maintainer
Authors (4)
Author, Maintainer
Package Timeline

6 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
  • R
    R 4.4.0 released · 2024-04-24
  • R
    R 4.3.0 released · 2023-04-21
  • 1.2.0Latest
    2022-06-24 · current release · diff ↗
  • unarchivedReturned to CRAN
    2022-06-24
  • R
    R 4.2.0 released · 2022-04-22
  • archivedRemoved from CRAN
    2022-03-26
    mail to the maintainer is undeliverable
  • 1.1.0
    2021-11-30 · diff ↗
  • 1.0.0
    2021-10-20 · diff ↗
  • 0.3.0
    2021-07-16 · diff ↗
  • unarchivedReturned to CRAN
    2021-07-16
  • archivedRemoved from CRAN
    2021-05-27
    check problems were not corrected in time
  • R
    R 4.1.0 released · 2021-05-18
  • 0.2.0
    2020-06-02 · diff ↗
  • R
    R 4.0.0 released · 2020-04-24
Show 2 earlier events
  • 0.1.0
    2020-04-15
  • R
    R 3.6.0 released · 2019-04-26

Package metadata

First published
2020-04-15
Total releases
6 / 6 yrs
License
MIT + file LICENSE OSI
Download size
49 KB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("CIMTx")
Ji, J., Gu, C., Hu, L., & Lopez, M. (2022). CIMTx: Causal Inference for Multiple Treatments with a Binary Outcome (Version 1.2.0) [Computer software]. https://doi.org/10.32614/CRAN.package.CIMTx

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 CIMTx version 1.2.0 [Data set]. HJJB, LLC. Data release v2026-08-15. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-15, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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