The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.

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

Linking:

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