An R package for causal inference in time series

Causal inference under multiple treatments using BART

Quasi-Oracle Estimation of Heterogeneous Treatment Effects

Ancestral Causal Inference (ACI)

Trajectory Balancing

Generates synthetic data to apply simulations for causal inference

Causal Inference using R. Examples are from the book Causal Inference (Chapman & Hall/CRC, 2012) by Miguel Hernán and Jamie Robins. Complete contributor/reviewer list is updated in http://www.hsph.harvard.edu/faculty/miguel-hernan/causal-inference-book/

The Hetcor PC algorithm for causal discovery from mixed continuous and ordinal data.

Supplementary Materials for ``Quantitative Social Science: An Introduction''

Targeted Learning entry in the Atlantic Causal Inference Conference's 2017 competition

Variable importance through causal inference, with Alan Hubbard

Discover the Underlying Causal Structure of Data

R code for causal graph animations

Causal inference with interference (embedded on a graph).

Inference for Gaussian copula factor models and its application to causal discovery.

Cyclic Causal Inference

Double Machine Learning for Multiple Treatments

Causal discovery from mixed data with missing values.

R package for doubly robust estimates of causal effects in high-dimensions using flexible Bayesian methods