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
Browse package contents
Package details |
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| Author | Kay H. Brodersen <kbrodersen@google.com>, Alain Hauser <alhauser@google.com> |
| Maintainer | Alain Hauser <alhauser@google.com> |
| License | Apache License 2.0 | file LICENSE |
| Version | 1.3.0 |
| URL | https://google.github.io/CausalImpact/ |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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