# Using CausalImpact in R, observed data affected by event that could not affect priors

I am just starting out using the Causal Impact package in R. I am looking at observed data where I know there will be periods of extra traffic due to outside forces. However I cant find any unbiased priors to feed this in. Is there a way to say, 'At this point during the timescale, we expect to see and uplift' to help the model map it more efficiently.

Thanks

It is possible to have a gap between pre- and post-period by specifying the arguments such pre.period[1] does not immediately follow pre.period[2]. With this, it is possible to exclude some time period around the intervention that is known to be affected by external factors.