christinaheinze / CompareCausalNetworksLinks
A unified interface for the estimation of causal networks
☆22Updated 5 years ago
Alternatives and similar repositories for CompareCausalNetworks
Users that are interested in CompareCausalNetworks are comparing it to the libraries listed below
Sorting:
- R Wrapper for Tetrad Library☆35Updated 10 months ago
- Code to run submissions for the Atlantic Causal Inference Competition☆42Updated 11 months ago
- Tools for causal discovery in R☆19Updated 4 months ago
- Demo data and code for "Sense and Sensitivity Analysis: Simple Post-Hoc Analysis of Bias Due to Unobserved Confounding".☆26Updated 3 years ago
- Code for the paper "Joint Causal Inference from Multiple Contexts" (JMLR 2020)☆16Updated 5 years ago
- 🎯 Targeted Learning of the Causal Effects of Stochastic Interventions☆17Updated 9 months ago
- Causal Inference using Bayesian Additive Regression Trees☆80Updated 10 months ago
- ☆95Updated last year
- An Interface to Specify Causal Graphs and Compute Balke Bounds☆21Updated 4 months ago
- Non-parametrics for Causal Inference☆48Updated 3 years ago
- Simulating Longitudinal and Network Data with Causal Inference Applications☆69Updated 11 months ago
- This is a read-only mirror of the CRAN R package repository. pcalg — Methods for Graphical Models and Causal Inference. Homepage: https…☆35Updated 10 months ago
- Code for a variety of nonlinear conditional independence tests and 'nonlinear Invariant Causal Prediction' to estimate the causal parents…☆17Updated 5 years ago
- ☆42Updated 4 years ago
- Sufficient Representation for Categorical Variables https://arxiv.org/abs/1908.09874v1☆14Updated 5 years ago
- Quasi-Oracle Estimation of Heterogeneous Treatment Effects☆112Updated 4 years ago
- ☆34Updated 3 years ago
- Bayesian Causal Forests☆47Updated last year
- Multi-Calibration & Multi-Accuracy Boosting for R☆32Updated 9 months ago
- causaleffect: R package for identifying causal effects.☆32Updated 2 years ago
- Data for and description of the ACIC 2023 data competition☆32Updated 2 years ago
- ☆92Updated 7 months ago
- Targeted Maximum Likelihood Estimation for a binary treatment: A tutorial. Statistics in Medicine. 2017☆17Updated 5 years ago
- Python package for the creation, manipulation, and learning of Causal DAGs☆152Updated 2 years ago
- Policy learning via doubly robust empirical welfare maximization over trees☆83Updated last year
- Repository for Introduction to Bayesian Estimation of Causal Effects☆66Updated 4 years ago
- An R package for computing asymmetric Shapley values to assess causality in any trained machine learning model☆75Updated 5 years ago
- ACM CHIL 2021: "Enabling Counterfactual Survival Analysis with Balanced Representations"☆12Updated 4 years ago
- Tutorial_Computational_Causal_Inference_Estimators☆37Updated 3 years ago
- Package for heterogeneous causal effects in the presence of imperfect compliance (e.g., instrumental variables, fuzzy regression disconti…☆17Updated last year