AnaRitaNogueira / Methods-and-Tools-for-Causal-Discovery-and-Causal-InferenceLinks
This repository is used as a support for the paper "" (to be named)
☆25Updated 3 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☆140Updated 9 months ago
- Tools for causal discovery in R☆19Updated 5 months ago
- Code to run submissions for the Atlantic Causal Inference Competition☆42Updated 11 months ago
- Repository for Introduction to Bayesian Estimation of Causal Effects☆67Updated 4 years ago
- Policy learning via doubly robust empirical welfare maximization over trees☆83Updated 2 weeks ago
- R package for doubly robust estimates of causal effects in high-dimensions using flexible Bayesian methods☆26Updated 8 months ago
- ☆95Updated last year
- Package for heterogeneous causal effects in the presence of imperfect compliance (e.g., instrumental variables, fuzzy regression disconti…☆17Updated last year
- R package to implement high-dimensional confounding adjustment using continuous spike and slab priors☆10Updated 5 years ago
- Quasi-Oracle Estimation of Heterogeneous Treatment Effects☆113Updated 4 years ago
- ☆42Updated 4 years ago
- Bayesian Causal Forests☆48Updated last year
- DoubleML - Double Machine Learning in R☆150Updated 3 months ago
- Implementation of Double Machine Learning☆36Updated 3 months ago
- Gaussian dynamic Bayesian networks structure learning and inference based on the bnlearn package☆57Updated last year
- ☆44Updated 2 years ago
- Tutorial_Computational_Causal_Inference_Estimators☆37Updated 3 years ago
- Distributional Random Forests (Cevid et al., 2020)☆44Updated 2 years ago
- Replication files for Chernozhukov, Newey, Quintas-Martínez and Syrgkanis (2021) "RieszNet and ForestRiesz: Automatic Debiased Machine Le…☆14Updated 3 years ago
- Python implementation of the original R sensemakr package: https://github.com/carloscinelli/sensemakr☆52Updated 2 months ago
- R implementation of Generic Machine Learning Inference (Chernozhukov, Demirer, Duflo and Fernández-Val, 2020).☆69Updated 6 months ago
- Extensive tutorials for learning how to build deep learning models for causal inference (HTE) using selection on observables in Tensorflo…☆333Updated 9 months ago
- Causal Inference using Bayesian Additive Regression Trees☆81Updated last week
- Code for the paper "Joint Causal Inference from Multiple Contexts" (JMLR 2020)☆16Updated 5 years ago
- Simulating Longitudinal and Network Data with Causal Inference Applications☆70Updated last year
- Inference for synthetic controls☆39Updated 4 years ago
- Sensitivity analysis tools for causal ML☆17Updated last week
- A collection of visual guides to help applied scientists learn causal inference.☆278Updated 2 years ago
- Dimension Reduction Methods for Multivariate Time Series☆60Updated 2 months ago
- An R package for computing asymmetric Shapley values to assess causality in any trained machine learning model☆75Updated 5 years ago