liulch / bpCausalLinks
A package for Bayesian causal inference with time-series cross-sectional data
☆29Updated last year
Alternatives and similar repositories for bpCausal
Users that are interested in bpCausal are comparing it to the libraries listed below
Sorting:
- Optimized regression discontinuity designs☆30Updated 3 years ago
- Inference for synthetic controls☆39Updated 4 years ago
- Implementation of Double Machine Learning☆36Updated 8 months ago
- R package for doubly robust estimates of causal effects in high-dimensions using flexible Bayesian methods☆27Updated last year
- R Package for "Matching on generalized propensity scores with continuous exposures". An innovative approach for estimating causal effects…☆33Updated 10 months ago
- Prediction and inference procedures for synthetic control methods with multiple treated units and staggered adoption.☆38Updated 5 months ago
- R package cfcausal☆33Updated 3 years ago
- OLS Weights on Heterogeneous Treatment Effects☆10Updated 5 years ago
- Adaptive debiased machine learning of treatment effects with the highly adaptive lasso☆14Updated 10 months ago
- R package DIDdesign: Analyzing Difference-in-Differences Design☆39Updated last year
- R/haldensify: Highly Adaptive Lasso Conditional Density Estimation☆18Updated 3 months ago
- Double Machine Learning for Multiple Treatments☆41Updated 5 years ago
- Visualizing Panel Data☆47Updated 4 months ago
- Approximately balanced estimation of average treatment effects in high dimensions.☆35Updated 4 years ago
- Extended two-way fixed effects☆58Updated 3 months ago
- Suite of sensitivity analysis tools for OLS☆96Updated last year
- Code for Causal Inference: The Mixtape by Scott Cunningham☆27Updated 7 years ago
- Bacon-Goodman decomposition for differences-in-differences with variation in treatment timing.☆49Updated 4 years ago
- Statistical Tools for Causal Inference☆40Updated 9 months ago
- Nice distribution plots with minimum user input☆18Updated 5 months ago
- R package for Regresssion Design Discontinuity☆38Updated 2 years ago
- High-dimensional fixed effect estimation with pytorch☆18Updated 5 years ago
- R package for the Synthetic Control Using Lasso (SCUL) estimator from Hollingsworth and Wing (2020)☆26Updated 2 years ago
- ☆29Updated last year
- R implementation of Generic Machine Learning Inference (Chernozhukov, Demirer, Duflo and Fernández-Val, 2020).☆75Updated 2 weeks ago
- Tools in R for computing and using Z-estimator approximate influence functions.☆102Updated last year
- Dedicated ggplot2 methods for fixest model objects☆54Updated 3 months ago
- R-code to compare some staggered did methods☆26Updated 4 years ago
- Estimating Fixed Effects Individual Slope Models in R☆11Updated 3 years ago
- Data for Causal Inference: The Mixtape by Scott Cunningham☆36Updated 2 years ago