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.

• Install from CRAN with:

install.packages("infocausality", dep = TRUE)

• Install binary version from R-universe with:

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)