causalweight: An R Package for Causal Inference and Mediation Analysis
☆15Mar 6, 2019Updated 7 years ago
Alternatives and similar repositories for causalweight
Users that are interested in causalweight are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Implementation of Double Machine Learning☆37Feb 19, 2026Updated last month
- Causal mediation and interaction analysis - 4way decomposition - Rscript☆10Oct 3, 2017Updated 8 years ago
- R Package: Augmented Inverse Probability Weighted (AIPW) Estimation for Average Causal Effect☆28Apr 5, 2025Updated 11 months ago
- Sensitivity analysis tools for causal ML☆20Feb 11, 2026Updated last month
- ☆14Sep 9, 2024Updated last year
- Friedman's H-statistics☆34Jan 1, 2026Updated 2 months ago
- Generate bootstrap prediction intervals from a tidymodels workflow!☆21Jan 29, 2024Updated 2 years ago
- Code for the paper 'Identifying Modifiable Risk Factors and Their Joint Effect on Dementia Prevention'☆15Mar 9, 2023Updated 3 years ago
- R/txshift: Efficient Estimation of the Causal Effects of Stochastic Interventions, with Corrections for Outcome-Dependent Sampling☆13Sep 21, 2024Updated last year
- A sensitivity analysis package for causal effects☆12Mar 18, 2024Updated 2 years ago
- orf: R package☆12Jul 26, 2022Updated 3 years ago
- R/medoutcon: Efficient Causal Mediation Analysis with Natural and Interventional Direct/Indirect Effects☆15Jan 8, 2026Updated 2 months ago
- DoubleML - Double Machine Learning in R☆160Apr 14, 2025Updated 11 months ago
- Double Machine Learning for Multiple Treatments☆41Dec 4, 2020Updated 5 years ago
- eXtreme RuleFit (sparse linear models on XGBoost ensembles)☆44Dec 17, 2025Updated 3 months ago
- Foundation Model for Tabular Data via reticulate☆22Updated this week
- Machine Learning Estimation of Heterogeneous Causal Effects☆25Sep 6, 2021Updated 4 years ago
- Tidy methods for Bayesian treatment effect models☆18Dec 8, 2025Updated 3 months ago
- Synthetic data using Generative Adversarial Networks☆12Oct 4, 2023Updated 2 years ago
- Survival Extrapolation With a Flexible Parametric Model and External Data☆12Mar 10, 2026Updated 2 weeks ago
- ☆23May 27, 2025Updated 9 months ago
- Iterative Steps for Postprocessing Model Predictions☆16Aug 26, 2025Updated 6 months ago
- ☆16Feb 3, 2024Updated 2 years ago
- Adaptive debiased machine learning of treatment effects with the highly adaptive lasso☆15Feb 28, 2025Updated last year
- Calculate and Visualize Herfindahl-Hirschman Index Scores☆17Feb 7, 2025Updated last year
- Template code for exporting Stata regression output to beautiful LaTeX tables☆18May 27, 2016Updated 9 years ago
- Extension to {sparklyr} that allows you to interact with Spark & Databricks Connect☆17Mar 11, 2026Updated last week
- Causal mediation analysis in R☆31Dec 12, 2020Updated 5 years ago
- Flexible mediation analysis using natural effect models in R☆25Jun 22, 2023Updated 2 years ago
- Declarative group-wise count and compute, describing your target table☆13Jan 8, 2026Updated 2 months ago
- Tutorial_Computational_Causal_Inference_Estimators☆38Oct 29, 2021Updated 4 years ago
- ☆16Oct 9, 2025Updated 5 months ago
- Text matching UK Biobank Self-Reported medication descriptions for medication classification☆27Apr 7, 2022Updated 3 years ago
- This repository replicates the figures from the 3rd edition of the book "Recursive Macroeconomic Theory" by Lars Ljungqvist and Thomas J.…☆12Feb 9, 2016Updated 10 years ago
- R package for risk regression and prediction with censored data☆56Mar 11, 2026Updated last week
- Simulation of Correlated Data with Multiple Variable Types☆12Jun 28, 2018Updated 7 years ago
- Tools for causal discovery in R☆22Updated this week
- Replication code for "Log with zeros? Some problems and solutions"☆14Jun 10, 2024Updated last year
- Drops literature reviews in public places☆13Mar 31, 2023Updated 2 years ago