CausalImpact

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CausalImpact

Welcome! This group serves as a forum for announcements and discussions around the CausalImpact R package.

The CausalImpact R package implements an approach to estimating the causal effect of a designed intervention on a time series. For example, how many additional daily clicks were generated by an advertising campaign? Answering a question like this can be difficult when a randomized experiment is not available. The package overcomes this difficulty using a structural Bayesian time-series model to estimate how the response metric would have evolved after the intervention if the intervention had not occurred.

Project site and documentation: