Comments (4)
We agreed for now to have some more limited progress info -
building model
defining model
checking model (and note that check=FALSE will avoid this)
also make check() warnings into print statements and not formal warnings.
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Done. The output looks like this now.
m=nimbleModel(code)
Defining model...
Building model...
Building node functions...
Setting data and initial values if supplied...
Checking model (set 'check = FALSE' in nimbleModel() to skip this step) ...
NAs were detected in model variables: mu, logProb_mu, y, logProb_y.
Modeling building finished.
Closing this issue but feel free to reopen if you don't like how this looks.
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Actually, the issue was more general than model building, so I'll leave it open as we may want progress info for compiling and other steps.
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moved to wiki
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