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: | 1.2.4 |
| Depends: | bsts (≥ 0.9.0) |
| Imports: | assertthat (≥ 0.2.0), Boom, dplyr, ggplot2, zoo |
| Suggests: | knitr, testthat |
| Published: | 2020-01-08 |
| Author: | Kay H. Brodersen, Alain Hauser |
| Maintainer: | Alain Hauser <alhauser at google.com> |
| License: | Apache License 2.0 | file LICENSE |
| Copyright: | Copyright (C) 2014-2019 Google, Inc. |
| URL: | https://google.github.io/CausalImpact/ |
| NeedsCompilation: | no |
| Citation: | CausalImpact citation info |
| Materials: | README |
| CRAN checks: | CausalImpact results |
| Reference manual: | CausalImpact.pdf |
| Vignettes: |
CausalImpact |
| Package source: | CausalImpact_1.2.4.tar.gz |
| Windows binaries: | r-devel: CausalImpact_1.2.4.zip, r-release: CausalImpact_1.2.4.zip, r-oldrel: CausalImpact_1.2.4.zip |
| macOS binaries: | r-release: CausalImpact_1.2.4.tgz, r-oldrel: CausalImpact_1.2.4.tgz |
| Old sources: | CausalImpact archive |
| Reverse imports: | MarketMatching |
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