{"library":"causalmodels","type":"library","category":null,"description":"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.","language":"python","status":"active","version":"0.4.0","tags":["causal inference","bayesian models","treatment effect","econometrics","statistics"],"last_verified":"Tue May 26","install":[{"cmd":"pip install causalmodels","imports":["from causalmodels.bayesian_model import BayesianModel","from causalmodels.matching import Matching","from causalmodels.regression import Regression","from causalmodels.causal_dag import CausalDAG","from causalmodels.inference import CausalInference"]}],"homepage":null,"github":"http://github.com/roronya/causalmodels","docs":null,"changelog":null,"pypi":"https://pypi.org/project/causalmodels/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":50,"avg_install_s":9.6,"avg_import_s":null,"wheel_type":"wheel"},"url":"https://checklist.day/v1/registry/causalmodels/compatibility"}}