Inferring Causal Effects using Bayesian Structural Time-Series Models

Implements a Bayesian approach to causal impact estimation in time series, as described in Brodersen et al. (2015) . See the package documentation on GitHub < https://google.github.io/CausalImpact/> to get started.


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install.packages("CausalImpact")

1.2.3 by Alain Hauser, 2 months ago


https://google.github.io/CausalImpact/


Browse source code at https://github.com/cran/CausalImpact


Authors: Kay H. Brodersen <kbrodersen@google.com>, Alain Hauser <alhauser@google.com>


Documentation:   PDF Manual  


Apache License 2.0 | file LICENSE license


Imports assertthat, Boom, dplyr, ggplot2, zoo

Depends on bsts

Suggests knitr, testthat


See at CRAN