Hi all, I am running the following code, which initially instead of a normal distribution I was using a lognormal but it gave me the same error, which is: Chain 1 Informational Message: The current Metropolis proposal is about to be rejected because of the following issue: Chain 1 Exception: norm…

[image] irenegfsr: Chain 1 Informational Message: The current Metropolis proposal is about to be rejected because of the following issue: Chain 1 Exception: normal_lpdf: Location parameter is nan, but must be finite! (in ‘C:/Users/IGARCI~1/AppData/Local/Temp/Rtmpm8knEn/model-29941dda214a.stan’,…

Hi, This happens during the whole sampling process. You do not think that this can be due to the lack of initial values in R? What exactly in the code may cause this since I have already defined constraints?

[image] irenegfsr: This happens during the whole sampling process. I just want to make sure we are communicating well here; you’re saying that this message gets output dozens or hundreds of times, including at least once after warmup is finished? If so, then the question is why integrating y…

Hi, The issue is that the model that was running overnight it was through the statement of sampling() after running the stan_model. This time, I tried with cmdstan and model$sample(), which does not distinguish between the warning messages in the warmup and sampling. Is this clear? Or am I suppose …

The question is whether the warning messages continue to appear after warmup has finished. Running under the defaults, this is after 1000 iterations (50%).

MCMC issues with: Location parameter is nan, but must be finite!

Modeling

Navatso May 14, 2022, 12:30am 7

I get a similar error and I do not know how can I check if it’s during warm up or after it. Is there a way to print the iteration number in PyStan?

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MCMC issues with: Location parameter is nan, but must be finite!

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