heterogeneous-effects

Here are 4 public repositories matching this topic...

kapelner / ICEbox

R tools for Individual Conditional Expectation plots, derivative ICE, partial dependence, and model-interpretability diagnostics.

machine-learning r statistical-learning data-visualization r-package explainable-ai interpretable-machine-learning interaction-detection heterogeneous-effects model-interpretability individual-conditional-expectation black-box-models partial-dependence ice-plots derivative-ice feature-effects

Updated Sep 3, 2026
R

tlverse / tmle3mopttx

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🎯 💯 Targeted Learning and Variable Importance for the Causal Effect of an Optimal Individualized Treatment Intervention

machine-learning variable-importance targeted-learning causal-inference optimal-individualized-treatment categorical-treatment heterogeneous-effects

Updated Aug 6, 2022
R

athammad / onlinecml

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Online Causal Machine Learning in Python — one observation at a time

python machine-learning-algorithms econometrics causal-inference incremental-learning online-learning-algorithms a-b-testing heterogeneous-effects causal-machine-learning

Updated Apr 23, 2026
Python

tk-yasuno / hazard_effect_lingam

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An MVP system for feature engineering and causal discovery for pump equipment. v0.2.0 implements sign-based binary grouping (positive vs. negative effect) instead of ad-hoc percentile-based three-tier grouping, providing a more principled approach to heterogeneous causal discovery.

feature-engineering causal-inference time-series-analysis heterogeneous-effects industrial-iot causal-discovery manufacturing-analytics pump-equipment binary-grouping equipment-diagnostics

Updated May 19, 2026
Python

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