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.
Version: | 1.2.7 |
Depends: | bsts (≥ 0.9.0) |
Imports: | assertthat (≥ 0.2.0), Boom, dplyr, ggplot2, zoo |
Suggests: | knitr, rmarkdown, testthat |
Published: | 2021-06-07 |
Author: | Kay H. Brodersen, Alain Hauser |
Maintainer: | Alain Hauser <alhauser at google.com> |
License: | Apache License 2.0 | file LICENSE |
Copyright: | Copyright (C) 2014-2021 Google, Inc. |
URL: | https://google.github.io/CausalImpact/ |
NeedsCompilation: | no |
Citation: | CausalImpact citation info |
Materials: | README |
In views: | Bayesian, CausalInference |
CRAN checks: | CausalImpact results |
Reference manual: | CausalImpact.pdf |
Vignettes: |
CausalImpact |
Package source: | CausalImpact_1.2.7.tar.gz |
Windows binaries: | r-devel: CausalImpact_1.2.7.zip, r-release: CausalImpact_1.2.7.zip, r-oldrel: CausalImpact_1.2.7.zip |
macOS binaries: | r-release (arm64): CausalImpact_1.2.7.tgz, r-oldrel (arm64): CausalImpact_1.2.7.tgz, r-release (x86_64): CausalImpact_1.2.7.tgz, r-oldrel (x86_64): CausalImpact_1.2.7.tgz |
Old sources: | CausalImpact archive |
Reverse imports: | MarketMatching, SPORTSCausal |
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