Skip to content

causalOT

1.0.4Package record

Optimal Transport Weights for Causal Inference

0packages depend
5.4Kdownloads / year
14.6%test coverage
13/13flavors OK

Overview

About

Uses optimal transport distances to find probabilistic matching estimators for causal inference. These methods are described in Dunipace, Eric (2021) doi:10.48550/arXiv.2109.01991. The package will build the weights, estimate treatment effects, and calculate confidence intervals via the methods described in the paper. The package also supports several other methods as described in the help files.

Changes in 1.0.4

Minor improvements and fixes

  • Fixed test that gave error on some linux builds

From NEWS.md in the release

Install

Health

CRAN checks
13OK
Slowest check: 5.3 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK13 OK2026-05-02
  • NOTE11 OK, 3 NOTE2026-04-22
  • ERROR10 OK, 3 NOTE, 1 ERROR2026-04-18
Show 4 earlier changesHide 4 earlier changes
  • NOTE8 OK, 6 NOTE2026-04-10
  • ERROR7 OK, 6 NOTE, 1 ERROR2026-04-09
  • NOTE11 OK, 3 NOTE2026-03-18
  • ERROR5 OK, 2 NOTE, 7 ERROR2026-03-10
Advisories

none known

Documentation

In release 1.0.4
READMEYes · 202 wordsVignettesYes · 2 · staticNEWSYes · 100% structured · mentions 1.0.4Citation fileYes · software entry onlyWebsitenot declared in DESCRIPTION
Help pages
41 (13 internal)includes a package overview page
Examples that run
100%24 run in a plain check
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
0%

Downloads

5.4K
CRAN downloads in the past year
Rank #6,044 · ~15/day · ~454/mo
Daily download trend is not available in this view yet.
51730 days
1.4K90 days
5.4K1 year
Compare downloads with other packages →
Also on441 r2u10 autocran

Dependencies

Declared dependencies
23 external dependencies (excludes base and recommended)

Installing causalOT adds 59 packages (28 with compiled code, 50 MB of source tarballs). Heaviest: BH 14 MB, ggplot2 6.0 MB, glmnet 2.7 MB.

Depends (1)
R >= 4.1.0
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (1)
Author, Maintainer since 0.1 (2022)
Releases (7)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • 1.0.4Latest
    record
    2026-03-10 · current release · diff ↗
  • 1.0.3
    record
    2026-02-15 · diff ↗
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • 1.0.2
    record
    2024-02-18 · diff ↗
  • 1.0.1
    record
    2023-11-30 · diff ↗
  • unarchivedReturned to CRAN
    2023-11-28
  • 1.0
    record
    2023-11-28 · diff ↗ ·
    removed 7 exports
    cost_fun, dist.metrics, mean_bal, ot.methods, sinkhorn, supported.methods, supported.solvers
    added 13 exports
    CRASH3, Measure, OTProblem, barycentric_projection, cotOptions, dataHolder, df2dataHolder, entBWOptions, mean_balance, ot_distance, sbwOptions, scmOptions, supported_methods
  • archivedRemoved from CRAN
    2023-08-22
    requires archived package 'approxOT'
  • R
    R 4.3.0 released · 2023-04-21
  • 0.1.2
    record
    2022-09-04 · diff ↗
  • R
    R 4.2.0 released · 2022-04-22
  • 0.1
    record
    2022-03-14
  • R
    R 4.1.0 released · 2021-05-18

Package metadata

First published
2022-03-14
Total releases
7 / 4 yrs
License
GPL (== 3.0)
Additional repositories
ericdunipace.github.io
Minimum R
≥ 4.1.0
Bundled data
5.6 KB / 1 file
Download size
1.8 MB

Cite

Cite this package

Run in R for the authors' entry:

citation("causalOT")

The package provides a citation file, so citation() returns the authors' own entry.

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 causalOT version 1.0.4 [Data set]. HJJB, LLC. Data release v2026-10-21. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-21, which the citation names so these numbers can be found later. More on citing and the projects behind them.

Report a problem with this page →

Privacy choices

These apply to this browser and are stored on this device only. Nothing about your choice is sent to us.

Read the privacy policy