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