Inferring Causal Effects using Bayesian Structural Time-Series Models R package CausalImpact version 1.4.1 CRAN Task View: Bayesian (https://CRAN.R-project.org/view=Bayesian) CRAN Task View: CausalInference (https://CRAN.R-project.org/view=CausalInference) Implements a Bayesian approach to causal impact estimation in time series, as described in Brodersen et al. (2015) <DOI:10.1214/14-AOAS788>. See the package documentation on GitHub <https://google.github.io/CausalImpact/> to get started. Software Depends: bsts (>= 0.9.0) Imports: assertthat (>= 0.2.0), Boom, ggplot2, zoo Suggests: covr, knitr, rmarkdown, testthat, vdiffr Alain Hauser <alhauser@google.com> Comprehensive R Archive Network (CRAN) Kay H. Brodersen [aut], Alain Hauser [aut, cre] Apache License 2.0 file LICENSE (https://CRAN.R-project.org/package=CausalImpact/LICENSE) 2025-09-26 application/tgz https://CRAN.R-project.org/package=CausalImpact doi:10.32614/CRAN.package.CausalImpact