soerenkuenzel / causalToolbox
☆42Updated 3 years ago
Alternatives and similar repositories for causalToolbox:
Users that are interested in causalToolbox are comparing it to the libraries listed below
- R package for doubly robust estimates of causal effects in high-dimensions using flexible Bayesian methods☆26Updated 4 months ago
- ☆94Updated last year
- Approximately balanced estimation of average treatment effects in high dimensions.☆34Updated 3 years ago
- Policy learning via doubly robust empirical welfare maximization over trees☆78Updated 10 months ago
- R package cfcausal☆27Updated 2 years ago
- ☆31Updated 2 years ago
- Quasi-Oracle Estimation of Heterogeneous Treatment Effects☆108Updated 4 years ago
- Repository for Introduction to Bayesian Estimation of Causal Effects☆61Updated 4 years ago
- Code to run submissions for the Atlantic Causal Inference Competition☆42Updated 8 months ago
- ☆41Updated 2 years ago
- Causal Inference using Bayesian Additive Regression Trees☆79Updated 7 months ago
- R and python implementations of Accelerated Bayesian Causal Forest.☆25Updated 9 months ago
- Sufficient Representation for Categorical Variables https://arxiv.org/abs/1908.09874v1☆14Updated 5 years ago
- Double Machine Learning for Multiple Treatments☆40Updated 4 years ago
- An Interface to Specify Causal Graphs and Compute Balke Bounds☆17Updated last month
- DEPRECATED. See new generalized random forest package for up-to-date implementation.☆53Updated 7 years ago
- A package for Bayesian causal inference with time-series cross-sectional data☆26Updated last year
- Methods for heterogeneous treatment effect estimation☆23Updated 3 years ago
- R/haldensify: Highly Adaptive Lasso Conditional Density Estimation☆18Updated 2 months ago
- Tutorials on Stan for Bayesian causal inference☆19Updated last year
- Sensitivity analysis tools for causal ML☆16Updated 10 months ago
- Discrete Bayesian Additive Regression Trees Sampler☆58Updated 2 weeks ago
- Implementation of Double Machine Learning☆35Updated this week
- Data for and description of the ACIC 2023 data competition☆32Updated last year
- Code associated with paper: Orthogonal Machine Learning for Demand Estimation: High-Dimensional Causal Inference in Dynamic Panels, Seme…☆25Updated last year
- Simulating Longitudinal and Network Data with Causal Inference Applications☆68Updated 8 months ago
- Package for heterogeneous causal effects in the presence of imperfect compliance (e.g., instrumental variables, fuzzy regression disconti…☆16Updated last year
- Interpretable and model-robust causal inference for heterogeneous treatment effects using generalized linear working models with targeted…☆24Updated 3 years ago
- ☆16Updated 3 years ago
- ☆16Updated 10 months ago