Latest version: v0.0.1
The information on this page was curated by experts in our Cybersecurity Intelligence Team.
nsaphx is a Python package for causal inference studies using the potential outcome framework. It offers a flexible and extensible framework to apply computational instructions to input data, including exposure, outcome, and confounders. The package uses directed acyclic graphs and database storage for efficient computation and storage.
No known vulnerabilities found