Package: CausalImpact
Title: Inferring Causal Effects using Bayesian Structural Time-Series
        Models
Date: 2025-09-24
Authors@R: c(person(given = c("Kay", "H."),
                    family = "Brodersen",
                    role = "aut",
                    email = "kbrodersen@google.com"),
             person(given = "Alain",
                    family = "Hauser",
                    role = c("aut", "cre"),
                    email = "alhauser@google.com"))
Maintainer: Alain Hauser <alhauser@google.com>
URL: https://google.github.io/CausalImpact/
Description: 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.
Copyright: Copyright (C) 2014-2025 Google, Inc.
Version: 1.4.1
VignetteBuilder: knitr
License: Apache License 2.0 | file LICENSE
Imports: assertthat (>= 0.2.0), Boom, ggplot2, zoo
Depends: bsts (>= 0.9.0)
Config/testthat/edition: 3
Suggests: covr, knitr, rmarkdown, testthat, vdiffr
NeedsCompilation: no
Packaged: 2025-09-26 12:04:55 UTC; husi
Author: Kay H. Brodersen [aut],
  Alain Hauser [aut, cre]
Repository: CRAN
Date/Publication: 2025-09-26 23:30:19 UTC
Built: R 4.6.0; ; 2026-04-26 06:20:05 UTC; unix
