patterncausality: Pattern Causality Algorithm

The model proposes a robust methodology for detecting and reconstructing the hidden structure of dynamic complex systems through short-term forecasts and information embedded in reconstructed state spaces. The approach not only identifies critical components and causal interactions within these systems but also provides a practical tool for optimizing system performance and stability.

Version: 0.1.3
Depends: R (≥ 4.1.0)
Imports: stats, corrplot, graphics, plot3D
Suggests: knitr, rmarkdown, stringr, ggplot2, testthat (≥ 3.0.0)
Published: 2024-09-24
DOI: 10.32614/CRAN.package.patterncausality
Author: Stavros Stavroglou ORCID iD [aut], Athanasios Pantelous ORCID iD [aut], Hui Wang ORCID iD [aut, cre]
Maintainer: Hui Wang <huiw1128 at gmail.com>
BugReports: https://github.com/skstavroglou/pattern_causality/issues
License: MIT + file LICENSE
URL: https://github.com/skstavroglou/pattern_causality/
NeedsCompilation: no
Materials: README
CRAN checks: patterncausality results

Documentation:

Reference manual: patterncausality.pdf
Vignettes: Pattern Causality in a large dataset (source, R code)
Introduction to patterncausality (source, R code)
Pattern Causality between two series (source, R code)

Downloads:

Package source: patterncausality_0.1.3.tar.gz
Windows binaries: r-devel: patterncausality_0.1.3.zip, r-release: patterncausality_0.1.3.zip, r-oldrel: patterncausality_0.1.3.zip
macOS binaries: r-release (arm64): patterncausality_0.1.3.tgz, r-oldrel (arm64): patterncausality_0.1.3.tgz, r-release (x86_64): patterncausality_0.1.3.tgz, r-oldrel (x86_64): patterncausality_0.1.3.tgz
Old sources: patterncausality archive

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