bsynth: Bayesian Synthetic Control (original) (raw)
Implements the Bayesian Synthetic Control method for causal inference in comparative case studies. This package provides tools for estimating treatment effects in settings with a single treated unit and multiple control units, allowing for uncertainty quantification and flexible modeling of time-varying effects. The methodology is based on the paper by Vives and Martinez (2022) <doi:10.48550/arXiv.2206.01779>.
Version: | 1.0 |
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Depends: | R (≥ 3.4.0) |
Imports: | R6, Rcpp (≥ 0.12.0), RcppParallel (≥ 5.0.1), cubelyr, dplyr, ggplot2, glue, magrittr, methods, purrr, rstan (≥ 2.18.1), rstantools (≥ 2.1.1), scales, tibble, tidyr, vizdraws (≥ 1.1), stats, rlang |
LinkingTo: | BH (≥ 1.66.0), Rcpp (≥ 0.12.0), RcppEigen (≥ 0.3.3.3.0), RcppParallel (≥ 5.0.1), rstan (≥ 2.18.1), StanHeaders (≥ 2.18.0) |
Suggests: | knitr, rmarkdown, roxygen2, gsynth, testthat (≥ 3.0.0) |
Published: | 2024-06-25 |
DOI: | 10.32614/CRAN.package.bsynth |
Author: | Ignacio Martinez |
Maintainer: | Ignacio Martinez |
BugReports: | https://github.com/google/bsynth/issues |
License: | Apache License 2.0 |
URL: | https://github.com/google/bsynth, https://arxiv.org/abs/2206.01779 |
NeedsCompilation: | yes |
SystemRequirements: | GNU make |
Materials: | README |
CRAN checks: | bsynth results |
Documentation:
Downloads:
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