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Tlverse Handbook ⭐ 51

🎯 📕 Targeted Learning in R: A Causal Data Science Handbook

📦 Non-parametric Causal Effects Based on Modified Treatment Policies 🔮

📦 🎲 R/txshift: Efficient Estimation of the Causal Effects of Stochastic Interventions, with Corrections for Outcome-Dependent Sampling

Causalglm ⭐ 11

Interpretable and model-robust causal inference for heterogeneous treatment effects using generalized linear working models with targeted machine-learning

A pure Julia implementation of the Targeted Minimum Loss-based Estimation

Supernova ⭐ 5

💫 🎯 Automatic identification of variable and interaction importance using basis functions and non-parametric estimation of interactions/effect modification using joint stochastic interventions.

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