Implements a Bayesian approach to causal impact estimation in time series, as described in Brodersen et al. (2015) . See the package documentation on GitHub to get started.

Documentation

Manual: CausalImpact.pdf
Vignette: CausalImpact

Maintainer: Alain Hauser <alhauser at google.com>

Author(s): Kay H. Brodersen <kbrodersen at google.com>, Alain Hauser <alhauser at google.com>

Install package and any missing dependencies by running this line in your R console:

install.packages("CausalImpact")

Depends bsts(>=0.7.0)
Imports assertthat, Boom, dplyr, ggplot2, zoo
Suggests knitr, testthat
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Package CausalImpact
Materials
URL https://google.github.io/CausalImpact/
Task Views
Version 1.2.1
Published 2017-05-31
License Apache License 2.0 | file LICENSE
BugReports
SystemRequirements
NeedsCompilation no
Citation
CRAN checks CausalImpact check results
Package source CausalImpact_1.2.1.tar.gz