Larsvanderlaan / AdaptiveDML
Adaptive debiased machine learning of treatment effects with the highly adaptive lasso
☆14Updated last month
Alternatives and similar repositories for AdaptiveDML:
Users that are interested in AdaptiveDML are comparing it to the libraries listed below
- R/haldensify: Highly Adaptive Lasso Conditional Density Estimation☆18Updated last month
- A package for Bayesian causal inference with time-series cross-sectional data☆26Updated last year
- R Package for "Matching on generalized propensity scores with continuous exposures". An innovative approach for estimating causal effects…☆30Updated last month
- Optimized regression discontinuity designs☆29Updated 2 years ago
- Nice distribution plots with minimum user input☆16Updated last year
- Sensitivity analysis tools for causal ML☆16Updated 10 months ago
- Robust empirical Bayes confidence intervals☆10Updated 7 months ago
- Synthetic controls for micro-level data☆16Updated last year
- Code for DID chapter☆11Updated last year
- OLS Weights on Heterogeneous Treatment Effects☆10Updated 4 years ago
- Specification test for the propensity score☆13Updated 2 years ago
- Machine Learning for Economics☆19Updated last year
- R package cfcausal☆27Updated 2 years ago
- Teenage Driving, Mortality, and Risky Behaviors: Public Use Data Repository☆30Updated 2 years ago
- R package for doubly robust estimates of causal effects in high-dimensions using flexible Bayesian methods☆26Updated 4 months ago
- Jackknife Instrumental Variables Estimation☆11Updated last year
- Paper repository for "Double Robust Two-Way Fixed Effect Regression for Panel Data"☆10Updated last year
- Data Science for Economists and Other Animals☆28Updated 3 years ago
- Multiple Treatment Effects Regression☆16Updated 3 months ago
- ddml: Double/Debiased Machine Learning in R☆18Updated 4 months ago
- Inference for synthetic controls☆39Updated 3 years ago
- Implementation of Double Machine Learning☆35Updated last year
- This the repository for the Spring Causal Inference Course☆42Updated 5 years ago
- Degrees of freedom adjustments for robust standard errors described in Imbens and Kolesár (2016, Review of Economics and Statistics)☆31Updated 3 months ago
- R package for the Synthetic Control Using Lasso (SCUL) estimator from Hollingsworth and Wing (2020)☆24Updated last year
- Out of memory data manipulation☆13Updated last year
- Tutorials on Stan for Bayesian causal inference☆19Updated last year
- Replications data and code for "LaLonde (1986) after Nearly Four Decades: Lessons Learned"☆16Updated 9 months ago
- This package provides functions for computing One-Sided Dynamic Principal Components, a novel multivariate time series dimension reductio…☆9Updated last year
- Prediction and inference procedures for synthetic control methods with multiple treated units and staggered adoption.☆32Updated 2 months ago