CausalLift: Python package for causality-based Uplift Modeling in real-world business
A resource list for causality in statistics, data science and physics
Python tools for regression discontinuity designs
Causal Inference Using Quasi-Experimental Methods
Bayesian CausalImpact for Python — R-compatible Gibbs sampler in Rust (PyO3), 30x faster, no TensorFlow
Some examples of using bsts (Bayesian Structural Time Series) to build causal impact models
Claude Code skill for measuring causal impact of marketing campaigns using Bayesian structural time series
Counterfactual workflow toolkit for time-series questions with charts, reports, share packages, and agent-ready handoffs.
Working with the causaleffects and igraph
Quantifying the impact of a documentary on KeepCup search volume
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