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CausalImpact: Open-source package for estimating causal effects in time series

52 pointsby msantosover 10 years ago

3 comments

nroxover 10 years ago
something like this is done comparing monthly sums from a previous year with the current, to qualify the impact a campaign had in numbers. doing the difference you get the tendency for this year, and check if the actual result diverges from the tendency after the event.
评论 #8304951 未加载
kolevover 10 years ago
Links to GitHub page (<a href="http://google.github.io/CausalImpact/" rel="nofollow">http:&#x2F;&#x2F;google.github.io&#x2F;CausalImpact&#x2F;</a>) and the code itself (<a href="https://github.com/google/CausalImpact" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;google&#x2F;CausalImpact</a>).
chrisweeklyover 10 years ago
R is underrated.