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bsynth: Bayesian Synthetic Control

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 ORCID iD [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

Documentation:

Reference manual: bsynth.pdf
Vignettes: Multiple Treated

Downloads:

Package source: bsynth_1.0.tar.gz
Windows binaries: r-devel: bsynth_1.0.zip, r-release: bsynth_1.0.zip, r-oldrel: bsynth_1.0.zip
macOS binaries: r-release (arm64): bsynth_1.0.tgz, r-oldrel (arm64): bsynth_1.0.tgz, r-release (x86_64): bsynth_1.0.tgz, r-oldrel (x86_64): bsynth_1.0.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=bsynth to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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