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2SLS Regression with Diagnostics in R

R 24 6 Updated Sep 9, 2025

❗ This is a read-only mirror of the CRAN R package repository. causalDT — Causal Distillation Trees. Homepage: https://tiffanymtang.github.io/causalDT/

R 1 Updated Sep 3, 2025

Implements the Causal Forest algorithm formulated in Athey and Wager (2018).

Python 70 15 Updated Jun 12, 2020

Code for the Manuscript: A doubly robust machine learning-based approach to evaluate body mass index as a modifier of the association between fruit and vegetable intake and preeclampsia

R 2 Updated Mar 7, 2022

Heterogeneous Treatment Effects

R 17 4 Updated Oct 4, 2022

Tutorial for a target trial emulation with a time-varying exposure, time-dependent confounding, time-to-event outcome, and Sequentially Doubly Robust estimation (Hoffman et al. 2022).

R 63 18 Updated Jun 21, 2023

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

R 77 23 Updated Oct 17, 2025

Corresponding code guide to the tutorial paper "Introducing longitudinal modified treatment policies: a unified framework for studying complex exposures" (Hoffman et al., 2023)

R 27 1 Updated May 11, 2023
R 1 Updated Sep 13, 2024

Targeted Maximum Likelihood Estimation for a binary treatment: A tutorial. Statistics in Medicine. 2017

R 19 11 Updated Jun 12, 2020

bootstrap confidence intervals for Targeted Maximum Likelihood Estimators

R 7 3 Updated Feb 23, 2021