patterncausality: Pattern Causality Algorithm in R

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.