Hi, I’m having a pesky problem with multi-indexing, which I never seem to be able to get right. I have a multi-level beta-binomial model that models demand of certain product styles (10) over 52 weeks. Each of the 10 styles has a different probability p for each of the 52 weeks, but I’d like to p…

Can confirm the error, but getting the shape to work is quite tricky. My suggestion is to flatten your predictors and observers into 10*52 vector - similar hierarchical model are much easier to handled and there are quite some example around.

Sample_ppc shape error with multi-index model

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junpenglao August 10, 2018, 4:42pm 3

FYI, the error is the broadcasting in HalfNormal:

a.random(point=trace[0])

will generate the same error

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Sample_ppc shape error with multi-index model

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