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 <> to get started.

Getting started

Package details

AuthorKay H. Brodersen <>, Alain Hauser <>
MaintainerAlain Hauser <>
LicenseApache License 2.0 | file LICENSE
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
google/CausalImpact documentation built on Jan. 1, 2020, 3 a.m.