I am looking at the fantastic R package
CausalImpact and had a couple questions hopefully someone can help with.
What should be done when there are 0 values in a series (Y or X) due to impossible situations - for example if the series is retail sales and the stores are all closed on Sunday? Should it be coded as zero in the data or omitted?
Is the x in the data only to be control series (e.g. sales for retail control markets) or can additional covariates be used - e.g. other promos, demographic profiles of the markets or other events in the pre-period of either X or y?