Causalmodels

Causalmodels is a Python library for defining, analyzing, and inferring causal relationships from data, drawing inspiration from Judea Pearl's do-calculus. It provides tools for building Bayesian causal models, performing matching, and conducting regression-based causal inference. The current version is 0.4.0, with an irregular release cadence.