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 |
| 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 
[aut, cre],
Jaume [aut] |
| Maintainer: |
Ignacio Martinez <ignacio at martinez.fyi> |
| 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 |