lewisbails / cemLinks
cem is a lightweight library for performing coarsened exact matching (CEM). CEM is a modern matching technique useful for causal inference on observational data.
☆26Updated last year
Alternatives and similar repositories for cem
Users that are interested in cem are comparing it to the libraries listed below
Sorting:
- Fit Sparse Synthetic Control Models in Python☆83Updated last year
- Python implementation of the original R sensemakr package: https://github.com/carloscinelli/sensemakr☆52Updated 2 months ago
- Synthetic difference in differences for Python☆83Updated last year
- A Python package for causal inference using Synthetic Controls☆187Updated last year
- difference-in-differences in Python☆103Updated last year
- Documentation and User Guide for DoubleML - Double Machine Learning in Python & R☆22Updated last week
- A python module for the synthetic control method☆67Updated 3 months ago
- Policy learning via doubly robust empirical welfare maximization over trees☆83Updated 3 weeks ago
- An R package for computing asymmetric Shapley values to assess causality in any trained machine learning model☆75Updated 5 years ago
- Python tools for regression discontinuity designs☆69Updated 5 years ago
- Packages of Example Data for The Effect☆140Updated 9 months ago
- Implements the Causal Forest algorithm formulated in Athey and Wager (2018).☆69Updated 5 years ago
- Quasi-Oracle Estimation of Heterogeneous Treatment Effects☆113Updated 4 years ago
- ☆16Updated 2 years ago
- Code and notebooks for my Medium blog posts☆127Updated last year
- ☆42Updated 4 years ago
- Code associated with paper: Orthogonal Machine Learning for Demand Estimation: High-Dimensional Causal Inference in Dynamic Panels, Seme…☆25Updated 2 years ago
- Fast High-Dimensional Fixed Effects Regression in Python following fixest-syntax☆248Updated last week
- Causal Inference Crash Course for Scientists - contains slides and Jupyter notebooks☆103Updated 3 months ago
- 💊 Comparing causality methods in a fair and just way.☆139Updated 5 years ago
- Code to run submissions for the Atlantic Causal Inference Competition☆42Updated 11 months ago
- A causal tree method (Causal Tree Learn (CTL)) for heterogeneous treatment effects in Python☆64Updated last year
- Distributional Random Forests (Cevid et al., 2020)☆44Updated 2 years ago
- The Identification and Estimation of Direct and Indirect Effects in A/B Tests through Causal Mediation Analysis☆23Updated 3 years ago
- Official repository for the mcf package.☆21Updated last week
- AutoML for causal inference.☆228Updated 7 months ago
- Unstructured Code with interesting analysis☆37Updated 9 months ago
- Bayesian Additive Regression Trees For Python☆231Updated last year
- DoubleML - Double Machine Learning in Python☆631Updated 2 weeks ago
- Replication files for Chernozhukov, Newey, Quintas-Martínez and Syrgkanis (2021) "RieszNet and ForestRiesz: Automatic Debiased Machine Le…☆14Updated 3 years ago