Double Machine Learning in R
Overview
Implementation of the double/debiased machine learning framework of Chernozhukov et al. (2018) doi:10.1111/ectj.12097 for partially linear regression models, partially linear instrumental variable regression models, interactive regression models and interactive instrumental variable regression models. 'DoubleML' allows estimation of the nuisance parts in these models by machine learning methods and computation of the Neyman orthogonal score functions. 'DoubleML' is built on top of 'mlr3' and the 'mlr3' ecosystem. The object-oriented implementation of 'DoubleML' based on the 'R6' package is very flexible. More information available in the publication in the Journal of Statistical Software: doi:10.18637/jss.v108.i03.
Install
Health
- OK13 OK2026-08-22
- ERROR12 OK, 1 ERROR2026-08-20
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK14 OK2026-04-05
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- ERROR13 OK, 1 ERROR2026-04-03
- OK14 OK2026-03-10
Documentation
- Help pages
- 19
- Examples that run
- 55%6 run in a plain check · 5 only when donttest examples are enabled (R CMD check --as-cran)
- Exported functions with examples
- 56%
- Documented parameters
- 100%
- Return-value docs
- 50%
- Help pages citing references
- 47%
Downloads
Repository
- PRs merged (all time)
- 96%
- Median days to close, 50 most recently updated closed issues
- 3
- Median days to close, 50 most recently updated closed PRs
- 1
Stars over time
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Issues over time
PRs over time
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12 development-tooling and community-health practices detected across 6 families in the upstream repository
Checks run against github.com/doubleml/doubleml-for-r on 2026-10-11.
The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel
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An outside contributor's pull request to this repository was written with an AI coding tool.
- Claude CodePull requests: 1 from outside contributors, first on 2026-03-30, 1 from forks
Dependencies
Installing DoubleML adds 35 packages (19 with compiled code, 23 MB of source tarballs). Heaviest: data.table 5.7 MB, palmerpenguins 2.9 MB, moocore 1.9 MB.
Code & Tests
People & History
Previously maintained by Malte S. Kurz (0.1.1 to 0.5.1).
Pick two releases to compare their code metrics.
- RR 4.6.0 released · 2026-04-24
- 1.0.2Latest
- RR 4.5.0 released · 2025-04-11
- 1.0.12024-06-05 · diff ↗
- RR 4.4.0 released · 2024-04-24
- 1.0.02024-02-15 · diff ↗
- RR 4.3.0 released · 2023-04-21
- 0.5.32023-03-31 · diff ↗
- 0.5.22022-11-24 · diff ↗
- 0.5.12022-08-19 · diff ↗
- 0.5.02022-06-14 · diff ↗
- RR 4.2.0 released · 2022-04-22
- 0.4.12021-10-26 · diff ↗
- 0.4.0
- 0.3.12021-08-02 · diff ↗
- 0.3.02021-06-04 · diff ↗
Package metadata
- First published
- 2020-12-16
- Total releases
- 15 / 6 yrs
- License
- MIT + file LICENSE OSI
- Minimum R
- ≥ 3.5.0
- Download size
- 428 KB
Cite
Cite this package
Run in R for the authors' entry:
citation("DoubleML")The package provides a citation file, so citation() returns the authors' own entry.
It points to 10.18637/jss.v108.i03.
Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-10-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.