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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:

Please use the canonical form https://CRAN.R-project.org/package=caugi to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.