Changelog¶

All notable changes to this project.

[0.1.0] - 2025-01-XX¶

Core causal inference types: CausalModel, CausalEstimand, CausalEstimate, Assumptions
DoWhy wrapper: identification (backdoor, frontdoor, IV, mediation), estimation, refutation
EconML wrapper: T/S/X/R/DR-learners, Causal Forest, CATE/ATE estimation
UpliftModeler: causal_forest, two_model, class_transformation, dr_learner methods
Sensitivity analysis: Rosenbaum bounds, Cinelli-Hazlett RV, E-values, TIPS curves
A/B testing: proportion z-test, t-test, SPRT/mSPRT, Bayesian Beta-Binomial, power analysis, multiple testing
Visualization: causal DAGs, forest plots, love plots, sensitivity contours, Qini curves, counterfactual distributions
CLI: estimate, sensitivity, ab_test, uplift, graph, counterfactual, power, demo commands
Data utilities: IHDP, Lalonde, Criteo uplift datasets, synthetic data generation, propensity scoring, SMD, IPW, bootstrap CI
Configuration-driven pipelines via YAML
MkDocs Material documentation site
GitHub Actions CI pipeline (lint, type-check, test, build, deploy docs)