AnaRitaNogueira / Methods-and-Tools-for-Causal-Discovery-and-Causal-InferenceLinks
This repository is used as a support for the paper "" (to be named)
☆26Updated 4 years ago
Alternatives and similar repositories for Methods-and-Tools-for-Causal-Discovery-and-Causal-Inference
Users that are interested in Methods-and-Tools-for-Causal-Discovery-and-Causal-Inference are comparing it to the libraries listed below
Sorting:
- Packages of Example Data for The Effect☆150Updated last year
- Package for heterogeneous causal effects in the presence of imperfect compliance (e.g., instrumental variables, fuzzy regression disconti…☆18Updated last year
- Repository for Introduction to Bayesian Estimation of Causal Effects☆68Updated 5 years ago
- ☆95Updated last year
- R package for doubly robust estimates of causal effects in high-dimensions using flexible Bayesian methods☆27Updated last year
- ☆44Updated 4 years ago
- Distributional Random Forests (Cevid et al., 2020)☆45Updated last week
- Policy learning via doubly robust empirical welfare maximization over trees☆86Updated 4 months ago
- Prediction and inference procedures for synthetic control methods with multiple treated units and staggered adoption.☆37Updated 5 months ago
- fixed effect counterfactual estimators☆81Updated last week
- Python implementation of the original R sensemakr package: https://github.com/carloscinelli/sensemakr☆54Updated 6 months ago
- Replication files for Chernozhukov, Newey, Quintas-Martínez and Syrgkanis (2021) "RieszNet and ForestRiesz: Automatic Debiased Machine Le…☆14Updated 3 years ago
- Sensitivity analysis tools for causal ML☆18Updated 3 months ago
- Code to run submissions for the Atlantic Causal Inference Competition☆43Updated last year
- difference-in-differences in Python☆106Updated last year
- Code for the paper "Joint Causal Inference from Multiple Contexts" (JMLR 2020)☆16Updated 5 years ago
- A python module for the synthetic control method☆79Updated 7 months ago
- The pygformula implements the parametric g-formula in Python. The parametric g-formula (Robins, 1986) uses longitudinal data with time-va…☆30Updated 2 weeks ago
- R implementation of Generic Machine Learning Inference (Chernozhukov, Demirer, Duflo and Fernández-Val, 2020).☆74Updated 3 weeks ago
- Quasi-Oracle Estimation of Heterogeneous Treatment Effects☆119Updated 4 years ago
- Inference for synthetic controls☆39Updated 4 years ago
- Tutorial_Computational_Causal_Inference_Estimators☆38Updated 4 years ago
- A unified interface for the estimation of causal networks☆22Updated 5 years ago
- Implementation of Double Machine Learning☆36Updated 7 months ago
- Tools for causal discovery in R☆20Updated 9 months ago
- ☆48Updated 2 years ago
- Synthetic difference in differences for Python☆85Updated last year
- Bayesian Causal Forests☆50Updated last year
- Code for Colangelo and Lee (2025)☆15Updated 10 months ago
- Introduction to the mosts common estimators and computation in causal inference for epidemiologists: A tutorial☆39Updated 4 years ago