Welcome to ClientVPS Mirrors

README

infocausality

CRAN CRAN Release License Lifecycle: experimental R-CMD-check R-universe

infocausality website: https://stscl.github.io/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.packages("infocausality", dep = TRUE)
install.packages("infocausality",
                 repos = c("https://stscl.r-universe.dev",
                           "https://cloud.r-project.org"),
                 dep = TRUE)
if (!requireNamespace("devtools")) {
    install.packages("devtools")
}
devtools::install_github("stscl/infocausality",
                         build_vignettes = TRUE,
                         dep = TRUE)

Need a high-speed mirror for your open-source project?
Contact our mirror admin team at info@clientvps.com.

This archive is provided as a free public service to the community.
Proudly supported by infrastructure from VPSPulse , RxServers , BuyNumber , UnitVPS , OffshoreName and secure payment technology by ArionPay.