Create, query, and modify causal graphs. 'caugi' (Causal Graph
Interface) is a causality-first, high performance graph package that
provides a simple interface to build, structure, and examine causal
relationships.
| Version: |
1.2.0 |
| Depends: |
R (≥ 4.2) |
| Imports: |
data.table, grid, S7, stats, methods |
| Suggests: |
bnlearn, dagitty, devtools, ggm, graph, gRbase, igraph, jsonlite, knitr, MASS, Matrix, rextendr, rmarkdown, testthat, waldo, withr |
| Published: |
2026-05-05 |
| DOI: |
10.32614/CRAN.package.caugi |
| Author: |
Frederik Fabricius-Bjerre [aut, cre, cph],
Johan Larsson 
[aut],
Michael Sachs
[aut],
Bjarke Hautop Kristensen [aut] |
| Maintainer: |
Frederik Fabricius-Bjerre <frederik at fabriciusbjerre.dk> |
| BugReports: |
https://github.com/frederikfabriciusbjerre/caugi/issues |
| License: |
MIT + file LICENSE |
| URL: |
https://caugi.org/,
https://github.com/frederikfabriciusbjerre/caugi |
| NeedsCompilation: |
yes |
| SystemRequirements: |
Cargo (Rust's package manager), rustc >= 1.80.0, xz |
| Language: |
en-US |
| Materials: |
README |
| CRAN checks: |
caugi results |