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 (pre-print)[PsyArXiv] to aid researchers in investigating the relationship between a given GGM estimate (in the form of a precision matrix) 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 (