MCKnaus / dmlmtLinks
Double Machine Learning for Multiple Treatments
☆41Updated 5 years ago
Alternatives and similar repositories for dmlmt
Users that are interested in dmlmt are comparing it to the libraries listed below
Sorting:
- R package for doubly robust estimates of causal effects in high-dimensions using flexible Bayesian methods☆27Updated last year
- Implementation of Double Machine Learning☆36Updated 8 months ago
- Machine Learning Estimation of Heterogeneous Causal Effects☆25Updated 4 years ago
- ☆44Updated 4 years ago
- A package for Bayesian causal inference with time-series cross-sectional data☆29Updated 2 years ago
- ☆96Updated 2 years ago
- R package cfcausal☆33Updated 3 years ago
- Optimized regression discontinuity designs☆30Updated 3 years ago
- Approximately balanced estimation of average treatment effects in high dimensions.☆35Updated 4 years ago
- ☆48Updated 2 years ago
- Covariate Balance Tables and Plots - An R package for assessing covariate balance☆80Updated 4 months ago
- R package DIDdesign: Analyzing Difference-in-Differences Design☆39Updated last year
- ☆24Updated 7 years ago
- R/haldensify: Highly Adaptive Lasso Conditional Density Estimation☆18Updated 4 months ago
- Repository for Introduction to Bayesian Estimation of Causal Effects☆68Updated 5 years ago
- Statistical Tools for Causal Inference☆40Updated 9 months ago
- Packages of Example Data for The Effect☆152Updated last year
- Tutorials on Stan for Bayesian causal inference☆19Updated 7 months ago
- Inference for synthetic controls☆39Updated 4 years ago
- R/medoutcon: Efficient Causal Mediation Analysis with Natural and Interventional Direct/Indirect Effects☆15Updated last week
- Sensitivity analysis tools for causal ML☆19Updated 4 months ago
- Prediction and inference procedures for synthetic control methods with multiple treated units and staggered adoption.☆38Updated 6 months ago
- Teaching materials☆15Updated 4 months ago
- Data for Causal Inference: The Mixtape by Scott Cunningham☆36Updated 2 years ago
- Introduction to the mosts common estimators and computation in causal inference for epidemiologists: A tutorial☆39Updated 5 years ago
- fixed effect counterfactual estimators☆81Updated last week
- R implementation of Generic Machine Learning Inference (Chernozhukov, Demirer, Duflo and Fernández-Val, 2020).☆76Updated 3 weeks ago
- Policy learning via doubly robust empirical welfare maximization over trees☆86Updated 5 months ago
- Suite of sensitivity analysis tools for OLS☆96Updated last year
- R package: CBPS☆28Updated last month