caugi: Causal Graph Interface

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: 0.3.1
Depends: R (≥ 4.2)
Imports: data.table, fastmap, S7, stats, methods
Suggests: bnlearn, dagitty, devtools, ggm, graph, gRbase, igraph, knitr, MASS, Matrix, rextendr, rmarkdown, testthat
Published: 2025-12-04
DOI: 10.32614/CRAN.package.caugi (may not be active yet)
Author: Frederik Fabricius-Bjerre [aut, cre, cph], Johan Larsson ORCID iD [aut], Michael Sachs ORCID iD [aut]
Maintainer: Frederik Fabricius-Bjerre <frederik at fabriciusbjerre.dk>
BugReports: https://github.com/frederikfabriciusbjerre/caugi/issues
License: MIT + file LICENSE
URL: https://frederikfabriciusbjerre.github.io/caugi/
NeedsCompilation: yes
SystemRequirements: Cargo (Rust's package manager), rustc >= 1.80.0, xz
Materials: README, NEWS
CRAN checks: caugi results

Documentation:

Reference manual: caugi.html , caugi.pdf
Vignettes: Get started (source, R code)
Motivation (source, R code)
How to use caugi in a package (source, R code)

Downloads:

Package source: caugi_0.3.1.tar.gz
Windows binaries: r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries: r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): not available, r-oldrel (x86_64): not available

Linking:

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