Python Library for Probabilistic Graphical Models
Python
Updated Feb 15, 2019
DoWhy is a Python library that makes it easy to estimate causal effects. DoWhy is based on a unified language for cau…
Python
Updated Feb 22, 2019
Coz: Causal Profiling
C++
Updated Nov 21, 2018
Generalized Random Forests
↙️ ↘️ An R package for working with causal directed acyclic graphs (DAGs)
R
Updated Aug 25, 2018
Code for the Recsys 2018 paper entitled Causal Embeddings for Recommandation.
Python
Updated Oct 24, 2018
Implementation of Deep IV: A Flexible Approach for Counterfactual Prediction
Python
Updated Nov 20, 2017
Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependenc…
Python
Updated Nov 21, 2018
Python Causal Impact port of Google's Algorithm.
Python
Updated Feb 13, 2019
Variable importance through targeted causal inference, with Alan Hubbard
R
Updated Feb 13, 2019
An index of algorithms for learning causality with data
Updated Feb 20, 2019
Causal inference, graphical models and structure learning with the PC algorithm.
Julia
Updated Dec 9, 2018
R
Updated Jun 11, 2018
Covariate Balance Tables and Plots - An R package for assessing covariate balance
R
Updated Feb 12, 2019
R package for propensity score weighting
R
Updated Jan 14, 2019
Causal Inference with Invariant Prediction
Julia
Updated Jun 23, 2018
Python
Updated Feb 16, 2017
R Wrapper for Tetrad Library
Java
Updated Oct 11, 2018
Tutorial in Python targeted at Epidemiologists. Will discuss the basics of analysis in Python 3.x
Jupyter Notebook
Updated Feb 17, 2019
Estimation and Inference for Context-Specific Causal Average Treatment Effect and Optimal Individualized Treatment Ef…
R
Updated Apr 9, 2018
Nonparametric estimators of the average treatment effect with doubly-robust confidence intervals and hypothesis tests
R
Updated Jan 14, 2019
The Randomized Conditional Independence Test (RCIT) and the Randomized conditional Correlation Test (RCoT)
R
Updated Dec 19, 2018
R/medltmle: Estimation and Inference for Natural Mediation Effect in Longitudinal Data
R
Updated Nov 7, 2018
pgf: R implementation of the parametric g-formula
R
Updated Jan 11, 2019
Targeted Learning entry in the Atlantic Causal Inference Conference's 2017 competition
R
Updated Jul 16, 2017
Heterogeneous Treatment Effects
R
Updated Jul 15, 2018
Collaborative Targeted Maximum Likelihood Estimation
R
Updated Dec 6, 2017
PDSLASSO: Stata module for post-selection and post-regularization OLS or IV estimation and inference
Stata
Updated Jul 27, 2018
🎯 🎲 Targeted Learning and Variable Importance for the Causal Effects of Stochastic Interventions
Code for CIKM'18 paper, Linked Causal Variational Autoencoder for Inferring Paired Spillover Effects.
Python
Updated Jan 18, 2019