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DoubleML

1.0.2Package record

Double Machine Learning in R

3packages dependsuggested by 2
25.4Kdownloads / year
–test coverage
13/13flavors OK

Overview

About

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

CRAN checks
13OK
Slowest check: 8.9 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-08-22
  • ERROR12 OK, 1 ERROR2026-08-20
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK14 OK2026-04-05
Show 2 earlier changesHide 2 earlier changes
  • ERROR13 OK, 1 ERROR2026-04-03
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 1.0.2
READMEYes · 611 wordsVignettesYes · 3 · dynamicNEWSNoCitation fileYes · cites a publicationWebsiteYes
Cites a JSS article
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

25.4K
CRAN downloads in the past year
Rank #2,278 · ~70/day · ~2.1K/mo
Daily download trend is not available in this view yet.
3.3K30 days
7.4K90 days
25.4K1 year
Compare downloads with other packages →
Also on232 r2u14 autocran87 c2d4u

Repository

172Stars
35Forks
25Open issues
3Open PRs
19Releases
1,480Commits
7Commit identities
machine-learningrmlr3causal-inferencestatisticseconometricsdata-sciencedouble-machine-learning
1,480 commits · Last activity 2026-09-01 · +1.2% stars, 30d · The default branch showed an older version (1.0.1.9000) than CRAN on 2026-10-11 · Discussions: 14 posts
Responsiveness
How these are sampled
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

2026-07-14 · 1632026-09-29 · 172
PracticesBeta

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.

Continuous integration (2)
GitHub ActionsR CMD check workflow

The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel

Governance and community (4)
Code of conductContributing guideIssue templatesPR template
Docs source (2)
README.Rmdpkgdown
Coverage (1)
Coverage reporting (Codecov)
Show all practicesHide 2 practices
Automation and maintenance (1)
pre-commit
Lint, format, editor (2)
lintrRStudio project
How this is detected·Detection ruleset v3 (2026-09-26)
AI coding toolsBeta

An outside contributor's pull request to this repository was written with an AI coding tool.

From outside contributors
  • Claude Code
    Pull requests: 1 from outside contributors, first on 2026-03-30, 1 from forks
How this is detected·Detection ruleset v4 (updated 2026-09-27)

Dependencies

Declared dependencies
24 external dependencies (excludes base and recommended)

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.

Depends (1)
R >= 3.5.0
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
3direct
0indirect
Imports 3
Suggested by 2
Depends, Imports or LinkingTo, most downloaded first
Suggests, most downloaded first

People & History

People (5)
Author, Maintainer since 0.5.2 (2022)
Author · added in 0.5.3

Previously maintained by Malte S. Kurz (0.1.1 to 0.5.1).

Releases (15)

Pick two releases to compare their code metrics.

Show 6 earlier eventsHide 6 earlier events

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.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for DoubleML version 1.0.2 [Data set]. HJJB, LLC. Data release v2026-10-18. https://doi.org/10.5281/zenodo.21843040

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.

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