This repository provides R-code for the estimation of the conditional average treatment effect (CATE) using machine learning (ML) methods.
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Updated
May 17, 2021 - R
This repository provides R-code for the estimation of the conditional average treatment effect (CATE) using machine learning (ML) methods.
Meta-learnng solution using FFORMA for the M5 Uncertainty Forecasting Competition in Kaggle: https://www.kaggle.com/c/m5-forecasting-uncertainty
Gauge the individual treatment effect in randomized controlled trials using Meta-Learner
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