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infocausality: Information-Theoretic Measure of Causality

Methods for quantifying temporal and spatial causality through information flow, and decomposing it into unique, redundant, and synergistic components, following the framework described in Martinez-Sanchez et al. (2024) <doi:10.1038/s41467-024-53373-4>.

Version: 1.0
Depends: R (≥ 4.1.0)
Imports: methods, reticulate (≥ 1.41.0), sdsfun, sf, terra
LinkingTo: Rcpp
Suggests: gdverse, ggplot2, knitr, Rcpp, rmarkdown, spEDM, tEDM
Published: 2025-11-03
DOI: 10.32614/CRAN.package.infocausality
Author: Wenbo Lv ORCID iD [aut, cre, cph]
Maintainer: Wenbo Lv <lyu.geosocial at gmail.com>
BugReports: https://github.com/stscl/infocausality/issues
License: GPL-3
URL: https://stscl.github.io/infocausality/, https://github.com/stscl/infocausality
NeedsCompilation: yes
Materials: README, NEWS
CRAN checks: infocausality results

Documentation:

Reference manual: infocausality.html , infocausality.pdf
Vignettes: surd (source)

Downloads:

Package source: infocausality_1.0.tar.gz
Windows binaries: r-devel: infocausality_1.0.zip, r-release: infocausality_1.0.zip, r-oldrel: infocausality_1.0.zip
macOS binaries: r-release (arm64): infocausality_1.0.tgz, r-oldrel (arm64): infocausality_1.0.tgz, r-release (x86_64): infocausality_1.0.tgz, r-oldrel (x86_64): infocausality_1.0.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=infocausality 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.
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