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: R (>= 4.5.0), bsts (>= 0.9.0)
Config/testthat/edition: 3
Suggests: covr, knitr, rmarkdown, testthat, vdiffr
Config/pak/sysreqs: make
Repository: https://google.r-universe.dev
Date/Publication: 2026-03-31 04:46:51 UTC
RemoteUrl: https://github.com/google/causalimpact
RemoteRef: HEAD
RemoteSha: 0f5bf8d97cfb13321926c68b7eaeec74bb692b61
NeedsCompilation: no
Packaged: 2026-06-23 06:29:06 UTC; root
Author: Kay H. Brodersen [aut],
  Alain Hauser [aut, cre]