Graph Adjustment Identification Distances for Causal Graphs
Overview
Make efficient Rust implementations of graph adjustment identification distances available in R. These distances (based on ancestor, optimal, and parent adjustment) count how often the respective adjustment identification strategy leads to causal inferences that are incorrect relative to a ground-truth graph when applied to a candidate graph instead. See also Henckel, Würtzen, Weichwald (2024) doi:10.48550/arXiv.2402.08616.
Install
Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK13 OK2026-07-30
- NOTE12 OK, 1 NOTE2026-07-29
- OK13 OK2026-05-02
Show 4 earlier changesHide 4 earlier changes
- NOTE11 OK, 1 NOTE2026-04-25
- OK14 OK2026-04-16
- NOTE13 OK, 1 NOTE2026-03-28
- OK14 OK2026-03-10
Documentation
- Help pages
- 5
- Examples that run
- 100%5 run in a plain check
- Exported functions with examples
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- Help pages citing references
- 80%
Downloads
Repository
- PRs merged (all time)
- 75%
- Median days to close, 50 most recently updated closed issues
- 142
- Median days to close, 50 most recently updated closed PRs
- 6
Stars over time
Forks over time
Issues over time
PRs over time
2 development-tooling and community-health practices detected across 2 families in the upstream repository
Checks run against github.com/causaldisco/gadjid on 2026-10-11.
Dependencies
Installing gadjid adds no packages beyond those that come with R.
Code & Tests
People & History
- RR 4.6.0 released · 2026-04-24
- 0.1.0Latest2025-08-29 · current release
- RR 4.5.0 released · 2025-04-11
Package metadata
- First published
- 2025-08-29
- Total releases
- 1 / 1 yrs
- License
- MPL
- Minimum R
- ≥ 4.2
- Download size
- 1.6 MB
Cite
Cite this package
Run in R for the authors' entry:
citation("gadjid")The package provides a citation file, so citation() returns the authors' own entry.
It points to 10.48550/arxiv.2402.08616.
Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-10-19, which the citation names so these numbers can be found later. More on citing and the projects behind them.