A Julia implementation of the Targeted Minimum Loss-based Estimation
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Updated
Jun 25, 2025 - Julia
A Julia implementation of the Targeted Minimum Loss-based Estimation
Targeted inference (R package) https://kkholst.github.io/targeted/
Doubly robust estimators of ordinal treatment effects
calibratedDML: Doubly robust inference via calibration
Target: library for targeted inference. DEVELOPMENT MOVED TO: https://github.com/kkholst/targeted
Code for “Balancing Interference and Correlation in Spatial Experimental Designs: A Causal Graph Cut Approach”
Implementation for the paper "Doubly robust identification of treatment effects from multiple environments"
Introduction to Double Robust Estimation for Causal Inference
hdPS workshop materials
Class project in Causal Inference, link below:
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