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While brms allows for variable truncation bounds, it struggles with untruncated observations, notably when bounds are set to extremes like -Inf and Inf in Gaussian distributions. This issue seems related to Stan's challenges with infinite gradients, as discussed in Stan issue #2881. Addressing this in brms could involve refining how such extreme truncation scenarios are handled, e.g. by implementing specific checks for these cases.
The text was updated successfully, but these errors were encountered:
While
brms
allows for variable truncation bounds, it struggles with untruncated observations, notably when bounds are set to extremes like-Inf
andInf
in Gaussian distributions. This issue seems related to Stan's challenges with infinite gradients, as discussed in Stan issue #2881. Addressing this inbrms
could involve refining how such extreme truncation scenarios are handled, e.g. by implementing specific checks for these cases.The text was updated successfully, but these errors were encountered: