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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 a
pip install nsaphx
PyPI declares 0 unique dependency rules for this release. Environment markers are shown when supplied by the project.
This release declares no required runtime dependencies in its PyPI metadata.
nsaphx publishes 0 wheels and 1 source archive for version 0.0.1. Wheel platform tags: No wheel platform tags.
Declared Python classifiers: 3.10, 3.7, 3.8, 3.9.
PyPI lists 1 release with files. The first dated release is ; 1 release falls within the 365 days preceding the latest dated release. The current release files were uploaded on .