Controlling randomness of results

[sglln]

Using the same dataset, multiple runs of CausalImpact produce different p-values and confidence intervals using bsts. They are within a small range of each other when using large niter values, but I want to produce the same values each time. How can these be controlled so that the results are consistent with every run?

Thanks

[dklinenberg2020]

Have you tried setting the seed on your CPU before running? Your code would look something like this:

set.seed(1234)
CausalImpact::CausalImpact(...)

That's worked for me!