A unified Python framework for causal effect bounding algorithms
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Updated
Aug 9, 2025 - Python
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partial-identification
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A new kind of world model: the PSD coupling kernel K(T,T') of admissible possible worlds. Diagonal = prediction, off-diagonal = counterfactual coupling. Built in public.
ai causality semidefinite-programming counterfactual partial-identification world-model potential-outcomes
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Jun 13, 2026 - Python
Python package for testing whether treatment effects operate through specific mechanisms, implementing finite-support sharp-null tests, minimum-defier bounds, and partial density diagnostics from Kwon and Roth (2026, Review of Economic Studies).
python statistics econometrics mediation-analysis hypothesis-testing causal-inference partial-identification
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Jun 30, 2026 - Python
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