Google uses R: a new open-source package for estimating causal effects in time series
In this blog post Google confirms its adoption of the opensource statistical environment R (see my R introduction) releasing a new R package.. “How can we measure the number of additional clicks or sales that an AdWords campaign generated? How can we estimate the impact of a new feature on app downloads? How do we compare the effectiveness of publicity across countries? In principle, all of these questions can be answered through causal inference […] How the package works The CausalImpact R package implements a Bayesian approach to estimating the causal effect of a designed intervention on a time series....