okasag / orf
orf: R package
☆12Updated 2 years ago
Alternatives and similar repositories for orf:
Users that are interested in orf are comparing it to the libraries listed below
- Out-Of-Sample Time Series Forecasting: OOS introduces a comprehensive framework for time series forecasting with traditional econometric …☆9Updated 4 years ago
- ☆16Updated last year
- This package provides functions for computing One-Sided Dynamic Principal Components, a novel multivariate time series dimension reductio…☆9Updated last year
- lmw: Linear Model Weights☆11Updated last year
- A package for Bayesian causal inference with time-series cross-sectional data☆26Updated last year
- Nice distribution plots with minimum user input☆16Updated last year
- OLS Weights on Heterogeneous Treatment Effects☆10Updated 4 years ago
- R/haldensify: Highly Adaptive Lasso Conditional Density Estimation☆18Updated last month
- How to use EconML within R☆12Updated 5 years ago
- ddml: Double/Debiased Machine Learning in R☆18Updated 4 months ago
- Multiple Treatment Effects Regression☆16Updated 3 months ago
- The Causal Rule Ensemble Method☆13Updated 5 months ago
- R function to compute simultaneous sup-t confidence bands following Montiel Olea and Plagborg-Møller (2019)☆9Updated last year
- Adaptive debiased machine learning of treatment effects with the highly adaptive lasso☆14Updated last month
- Paper repository for "Double Robust Two-Way Fixed Effect Regression for Panel Data"☆10Updated last year
- Implementation of Double Machine Learning☆35Updated last year
- Replications data and code for "LaLonde (1986) after Nearly Four Decades: Lessons Learned"☆16Updated 9 months ago
- An R Package for Change Point Localisation☆12Updated last year
- R package for the Synthetic Control Using Lasso (SCUL) estimator from Hollingsworth and Wing (2020)☆24Updated last year
- Fast Wild Cluster Bootstrap Inference for Regression Models / OLS in R. Additionally, R port to WildBootTests.jl via the JuliaConnectoR.☆25Updated 7 months ago
- causalweight: An R Package for Causal Inference and Mediation Analysis☆12Updated 6 years ago
- Sensitivity analysis tools for causal ML☆16Updated 10 months ago
- Taking Uncertainty Seriously: Bayesian Marginal Structural Models for Causal Inference in Political Science☆18Updated 2 years ago
- Error Handling Made Easy☆27Updated 5 months ago
- 2SLS Regression with Diagnostics in R☆20Updated 2 months ago
- R package experiment☆14Updated 2 years ago
- Machine learning explanations☆22Updated 8 months ago
- fast and flexible Difference-in-Differences☆28Updated 4 months ago
- Specification test for the propensity score☆13Updated 2 years ago
- ☆16Updated 3 years ago