jaryaman / causal-inference-cheat-sheetLinks
Summary of useful results in Causal Inference
☆20Updated 4 years ago
Alternatives and similar repositories for causal-inference-cheat-sheet
Users that are interested in causal-inference-cheat-sheet are comparing it to the libraries listed below
Sorting:
- Repository for Introduction to Bayesian Estimation of Causal Effects☆68Updated 5 years ago
- ☆95Updated last year
- Packages of Example Data for The Effect☆150Updated last year
- Double Machine Learning for Multiple Treatments☆41Updated 5 years ago
- Implementation of Double Machine Learning☆36Updated 7 months ago
- R package for doubly robust estimates of causal effects in high-dimensions using flexible Bayesian methods☆27Updated last year
- Course Materials for AEA Short Course on Modern Sampling Methods☆29Updated 3 years ago
- Policy learning via doubly robust empirical welfare maximization over trees☆86Updated 4 months ago
- Code to run submissions for the Atlantic Causal Inference Competition☆43Updated last year
- Code associated with paper: Orthogonal Machine Learning for Demand Estimation: High-Dimensional Causal Inference in Dynamic Panels, Seme…☆27Updated 2 years ago
- Teaching materials☆15Updated 3 months ago
- Data for and description of the ACIC 2023 data competition☆32Updated 2 years ago
- Sensitivity analysis tools for causal ML☆18Updated 2 months ago
- Delicatessen: the Python one-stop sandwich (variance) shop 🥪☆30Updated this week
- Tools in R for computing and using Z-estimator approximate influence functions.☆100Updated last year
- ☆33Updated 3 years ago
- Streamline a data analysis process☆84Updated 3 weeks ago
- ☆48Updated 2 years ago
- Course materials for Advanced Topics in Statistical Learning, Spring 2023☆49Updated 4 months ago
- Bayesian Causal Forests☆50Updated last year
- The pygformula implements the parametric g-formula in Python. The parametric g-formula (Robins, 1986) uses longitudinal data with time-va…☆30Updated last week
- ☆44Updated 4 years ago
- This is the repository holding the code used to perform the analysis used in the manuscript "Machine learning in policy evaluation: new t…☆11Updated 6 years ago
- Drawing graphical models for causal inference using LaTeX☆119Updated 2 years ago
- Inference for synthetic controls☆39Updated 4 years ago
- R package cfcausal☆33Updated 3 years ago
- Design of Simulations using WGAN☆55Updated 3 years ago
- Prediction and inference procedures for synthetic control methods with multiple treated units and staggered adoption.☆37Updated 5 months ago
- ☆22Updated last year
- Tutorials on Stan for Bayesian causal inference☆19Updated 5 months ago