bscm: Bayesian Synthetic Control Models
Implements the synthetic control method of Abadie, Diamond, and
Hainmueller (2010) <doi:10.1198/jasa.2009.ap08746> within a Bayesian
framework, enabling straightforward uncertainty quantification of treatment
effects and other quantities of interest. Supports time-varying covariates
with potentially time-varying effects, single or multiple treated units,
and staggered treatment adoption. Provides methods for model assessment,
comparison, and selection based on placebo studies, cross-validation, and
posterior predictive checks. Posterior sampling is performed using Markov
chain Monte Carlo via Stan.
| Version: |
1.0.1 |
| Depends: |
R (≥ 4.1.0) |
| Imports: |
checkmate, cli, dplyr, ggplot2, loo, methods, posterior, progressr, projpred, quadprog, Rcpp (≥ 0.12.0), RcppParallel (≥ 5.0.1), rlang, rstan (≥ 2.32.7), rstantools (≥ 2.6.0), tidyr |
| LinkingTo: |
BH (≥ 1.66.0), Rcpp (≥ 0.12.0), RcppEigen (≥ 0.3.3.3.0), RcppParallel (≥ 5.0.1), rstan (≥ 2.32.7), StanHeaders (≥
2.32.10) |
| Suggests: |
testthat (≥ 3.0.0) |
| Published: |
2026-08-09 |
| DOI: |
10.32614/CRAN.package.bscm (may not be active yet) |
| Author: |
Jouni Helske 
[aut, cre] |
| Maintainer: |
Jouni Helske <jouni.helske at iki.fi> |
| BugReports: |
https://github.com/helske/bscm/issues |
| License: |
GPL (≥ 3) |
| URL: |
https://github.com/helske/bscm |
| NeedsCompilation: |
yes |
| SystemRequirements: |
GNU make |
| Materials: |
README, NEWS |
| CRAN checks: |
bscm results |
Documentation:
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