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dscolby / CausalELM.jl

Taking causal inference to the extreme!

sensitivity-analysis causal-inference extreme-learning-machine nonparametric-model r-learning metalearning observational-studies g-computation quasi-experimental causal-machine-learning interrupted-time-series assumption-check double-machine-learning x-learner s-learner t-learner doubly-robust debiased-machine-learning metalearner

Updated Nov 6, 2024
Julia

The package is developed for treatment recommendation & pairwise treatment individual effect estimation (ITE/CATE/HTE) when multiple treatment/intervention options exist. The package is still under development.

causal-inference meta-learning r-learning individual-treatment-effects individualized-treatment-rules x-learner s-learner t-learner

Updated Mar 9, 2023
R

hklchung / UpliftModelling

Star

A repo with functions for building various COMs and GCOMs quickly.

com gcom uplift uplift-modelling propensity-modelling x-learner conditional-outcome-model grouped-conditional-outcome-model uplift-models s-learner t-learner

Updated Apr 19, 2021
Python

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