disco-coders / causalDiscoLinks
Tools for causal discovery in R
☆21Updated last week
Alternatives and similar repositories for causalDisco
Users that are interested in causalDisco are comparing it to the libraries listed below
Sorting:
- R and python implementations of Accelerated Bayesian Causal Forest.☆25Updated last year
- causaleffect: R package for identifying causal effects.☆37Updated 4 months ago
- Causal Inference using Bayesian Additive Regression Trees☆84Updated 5 months ago
- ☆33Updated 3 months ago
- Data for and description of the ACIC 2023 data competition☆32Updated 2 years ago
- Bayesian Causal Forests☆52Updated last year
- R Wrapper for Tetrad Library☆35Updated last year
- Distributional Random Forests (Cevid et al., 2020)☆45Updated last week
- Demo data and code for "Sense and Sensitivity Analysis: Simple Post-Hoc Analysis of Bias Due to Unobserved Confounding".☆27Updated 4 years ago
- An R package for computing asymmetric Shapley values to assess causality in any trained machine learning model☆74Updated 5 years ago
- Introduction to the mosts common estimators and computation in causal inference for epidemiologists: A tutorial☆39Updated 5 years ago
- Repository for Introduction to Bayesian Estimation of Causal Effects☆68Updated 5 years ago
- Gaussian dynamic Bayesian networks structure learning and inference based on the bnlearn package☆60Updated 2 weeks ago
- Noisy network measurement with stan☆56Updated last week
- Code to run submissions for the Atlantic Causal Inference Competition☆45Updated last year
- ☆96Updated 2 years ago
- R package cfcausal☆33Updated 3 years ago
- Compute SHAP values for your tree-based models using the TreeSHAP algorithm☆93Updated last year
- The pygformula implements the parametric g-formula in Python. The parametric g-formula (Robins, 1986) uses longitudinal data with time-va…☆31Updated last month
- An Interface to Specify Causal Graphs and Compute Balke Bounds☆22Updated 11 months ago
- 🎯 Targeted Learning in R: A Causal Data Science Handbook☆60Updated last year
- R package for doubly robust estimates of causal effects in high-dimensions using flexible Bayesian methods☆27Updated last year
- Simulating Longitudinal and Network Data with Causal Inference Applications☆69Updated last year
- ☆44Updated 4 years ago
- Tutorial_Computational_Causal_Inference_Estimators☆38Updated 4 years ago
- R Package for "Matching on generalized propensity scores with continuous exposures". An innovative approach for estimating causal effects…☆33Updated 11 months ago
- ☆48Updated 3 years ago
- R Implementation of FLAME, DAME, and other algorithms in the AME framework☆15Updated 2 years ago
- Nested cross-validation for accurate confidence intervals for prediction error.☆43Updated 3 years ago
- A unified interface for the estimation of causal networks☆22Updated 5 years ago