Causal Inference: Structural Causal Modeling
causalscm is a Python library for working with causal models.
Why?
Representation of causal inference models in Python are severely lacking. Moreover, sampling from causal models is non-trivial. However, sampling from simulations is a requirement to benchmark different structural learning, causal ID, or other causal related algorithms.
This package aims at serving as a framework for representing causal models and sampling from causal models.
causalscm interfaces with other popular Python packages, such as pgmpy and networkx for graphical representations.
Documentation
See here: TBD
Installation
You can install via pip with
pip install causalscm
or directly from github
pip install -U https://github.com/adam2392/causalscm/archive/main.zip
See our installation page for more details.