Comments (2)
I should have mentioned the versions: I am using rethinking 2.21, rstan 2.26.13, and cmdstanr 0.5.3
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Thanks for the very clear report! The bad model isn't subsetting the TV variable inside the normal() with [i], but only in the generated quantities. If you inspect the stancode() for both models, you will see what I mean. So the estimates are the same I guess? But it's just the WAIC calc that goes wrong.
I've been thinking that what ulam() should do in these cases is make a symbol for the calculation of sigma. i.e. automatically convert the "bad" model to the "good" one. That would solve a lot of parsing issues.
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Related Issues (20)
- Rethink package is NOT getting installed HOT 8
- Sampling issue for the Cat Adoptions Survival model.
- Random walk in ulam HOT 2
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- ulam fits missing @stanfit slot? HOT 2
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- Problem installing cmdstanr HOT 1
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from rethinking.