An R package implementing the SE-set algorithm, a tool to explore statistically-equivalent path models from correlation matrices and Gaussian Graphical Models (GGMs).

Background

This repository contains an R package used by Ryan, Bringmann and Schuurman (2022) The Challenge of Generating Causal Hypotheses Using Network Models. Structural Equation Modeling: A Multidisciplinary Journal, DOI: 10.1080/10705511.2022.2056039. The package allows researchers to investigate the relationship between a given GGM and possible underlying linear path models. Linear path models can also be interpreted as "weighted DAGs". Full details on the package can be found in Appendix B of the manuscript, and code to reproduce the empirical illustration in that paper can be found in this repository.

Please note that we recommend the use of this tool only for GGMs with 13 or less nodes as the size of the outputted object, and the run-time, grows factorialy (