google/CausalImpact: 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) <DOI:10.1214/14-AOAS788>. See the package documentation on GitHub <https://google.github.io/CausalImpact/> to get started.

Getting started

Package details

AuthorKay H. Brodersen <kbrodersen@google.com>, Alain Hauser <alhauser@google.com>
MaintainerAlain Hauser <alhauser@google.com>
LicenseApache License 2.0 | file LICENSE
Version1.2.4
URL https://google.github.io/CausalImpact/
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("google/CausalImpact")
google/CausalImpact documentation built on Jan. 1, 2020, 3 a.m.