Learn R Programming

infocausality

Information-Theoretic Measure of Causality

infocausality is an R package for information-theoretic causal analysis.
It quantifies temporal and spatial causality through information flow, and decomposes it into unique, redundant, and synergistic components. The package provides native support for data.frame, sf, and SpatRaster objects, offering a unified interface for both time-series and spatial cross-sectional causal analysis.

Refer to the package documentation https://stscl.github.io/infocausality/ for more detailed information.

Installation

  • Install from CRAN with:
install.packages("infocausality", dep = TRUE)
install.packages("infocausality",
                 repos = c("https://stscl.r-universe.dev",
                           "https://cloud.r-project.org"),
                 dep = TRUE)
  • Install from source code on GitHub with:
if (!requireNamespace("devtools")) {
    install.packages("devtools")
}
devtools::install_github("stscl/infocausality",
                         build_vignettes = TRUE,
                         dep = TRUE)

Copy Link

Version

Install

install.packages('infocausality')

Monthly Downloads

176

Version

1.0

License

GPL-3

Issues

Pull Requests

Stars

Forks

Maintainer

Wenbo Lv

Last Published

November 3rd, 2025

Functions in infocausality (1.0)

surd

synergistic-unique-redundant decomposition of causality