patterncausality: Pattern Causality Algorithm in R
22 Pages Posted: 29 Oct 2024
Date Written: September 24, 2024
Abstract
This paper introduces the R package patterncausality, which implements a causal inference method grounded in nonlinear dynamics and chaos theory. The algorithm serves as a tool for quantifying causality by utilizing reconstructed attractors and spatial mappings. The paper provides a concise overview of the algorithm, detailed descriptions of each function within the package, and several illustrative examples. As a modular algorithm, it offers a framework for causal analysis that is both extensible and adaptable.
Suggested Citation: Suggested Citation
Wang, Hui and Stavroglou, Stavros K. and Pantelous, Athanasios A., patterncausality: Pattern Causality Algorithm in R
(September 24, 2024). Available at SSRN: https://ssrn.com/abstract=4966221 or http://dx.doi.org/10.2139/ssrn.4966221
(September 24, 2024). Available at SSRN: https://ssrn.com/abstract=4966221 or http://dx.doi.org/10.2139/ssrn.4966221
Do you have a job opening that you would like to promote on SSRN?
Feedback
Feedback to SSRN