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causalweight

1.1.5

Estimation Methods for Causal Inference Based on Inverse Probability Weighting and Doubly Robust Estimation

0packages depend
8.5Kdownloads / year
test coverage
13/13checks pass

Overview

About
Maintained by Hugo BodoryFirst published 2018-02-2316 releasesCRAN page ↗

Various estimators of causal effects based on inverse probability weighting, doubly robust estimation, and double machine learning. Specifically, the package includes methods for estimating average treatment effects, direct and indirect effects in causal mediation analysis, and dynamic treatment effects based on different identification strategies (unconfoundedness, instruments, difference-in-differences, regression discontinuity designs).

Install

Health

CRAN checks
13OK
Slowest check: 3.0 min · r-oldrel-windows-x86_64
Code health
None
Tests · ratio 0.00
not tracked
Coverage
100%
Documentation · exports
12
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
  • OK2026-03-10
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMENoVignettesNopkgdown siteNoNEWSNoCode of conductNoContributing guideNo
Examples that run
59%
Documented parameters
98%
Return-value docs
100%
References docs
97%

Downloads

8.5K
CRAN downloads in the past year
Rank #4,118 · ~23/day · ~706/mo
Daily download trend is not available in this view yet.
67430 days
2K90 days
8.5K1 year
Compare downloads with other packages →
Also on243 r2u6 autocran55 c2d4u

Dependencies

Declared dependencies
12 external dependencies (excludes base and recommended)
Depends (2)
R >= 3.5.0ranger
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

Datasets

People & History

People (3)
Maintainer (1)
Author, Maintainer
Authors (3)
Author, Maintainer
Author · added in 1.0.4
Package Timeline

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

  • 1.1.5Latest
    2026-06-08 · current release · diff ↗
  • unarchivedReturned to CRAN
    2026-06-08
  • archivedRemoved from CRAN
    2026-05-18
    requires archived package 'LARF'
  • R
    R 4.6.0 released · 2026-04-24
  • 1.1.4
    2025-12-01 · diff ↗
  • R
    R 4.5.0 released · 2025-04-11
  • 1.1.3
    2025-03-26 · diff ↗
  • 1.1.2
    2025-03-22 · diff ↗
  • 1.1.1
    2024-07-23 · diff ↗
  • R
    R 4.4.0 released · 2024-04-24
  • 1.1.0
    2024-01-24 · diff ↗
  • 1.0.4
    2023-05-04 · diff ↗
  • R
    R 4.3.0 released · 2023-04-21
  • 1.0.3
    2022-08-12 · diff ↗
  • unarchivedReturned to CRAN
    2022-08-12
  • archivedRemoved from CRAN
    2022-08-12
    issues were not corrected in time
Show 14 earlier events
  • R
    R 4.2.0 released · 2022-04-22
  • 1.0.2
    2021-07-08 · diff ↗
  • R
    R 4.1.0 released · 2021-05-18
  • 1.0.1
    2021-04-16 · diff ↗
  • 1.0.0
    2020-12-02 · diff ↗
  • 0.2.1
    2020-06-15 · diff ↗
  • R
    R 4.0.0 released · 2020-04-24
  • 0.1.3
    2019-12-05 · diff ↗
  • R
    R 3.6.0 released · 2019-04-26
  • 0.1.2
    2018-12-01 · diff ↗
  • 0.1.1
    2018-08-01 · diff ↗
  • R
    R 3.5.0 released · 2018-04-23
  • 0.1.0
    2018-02-23
  • R
    R 3.4.0 released · 2017-04-21

Package metadata

First published
2018-02-23
Total releases
16 / 8 yrs
License
MIT + file LICENSE OSI
Minimum R
≥ 3.5.0
Bundled data
1.2 MB / 12 files
Download size
1.7 MB
Installed size
not tracked yet
With dependencies
not tracked yet
Appears in task views

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("causalweight")
Bodory, H., Huber, M., & Kueck, J. (2026). causalweight: Estimation Methods for Causal Inference Based on Inverse Probability Weighting and Doubly Robust Estimation (Version 1.1.5) [Computer software]. https://doi.org/10.32614/CRAN.package.causalweight

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 causalweight version 1.1.5 [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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