Package: CausalImpact
Title: Inferring Causal Effects using Bayesian Structural Time-Series
        Models
Date: 2022-11-07
Author: Kay H. Brodersen <kbrodersen@google.com>,
  Alain Hauser <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) 2014-2022 Google, Inc.
Version: 1.3.0
VignetteBuilder: knitr
License: Apache License 2.0 | file LICENSE
Imports: assertthat (>= 0.2.0), Boom, ggplot2, zoo
Depends: bsts (>= 0.9.0)
Suggests: covr, knitr, rmarkdown, testthat
NeedsCompilation: no
Packaged: 2022-11-08 19:19:08 UTC; husi
Repository: CRAN
Date/Publication: 2022-11-09 08:40:40 UTC
Built: R 4.2.0; ; 2023-07-11 01:13:23 UTC; unix
