I try to run loo_moment_match() because
loo() tells me:
Found 7 observations with a pareto_k > 0.7 in model My target IRT testlet models often exceed 1 GB size. So with a clean R Studio workspace I start my calculation at around 1,5 GB. Then during the calculation the RAM usage goes up to 22 GB (from 32 GB build in). After some time I get the following error:
Error in new_CppObject_xp(fields$.module, fields$.pointer, ...) : Not compatible with requested type: [type=closure; target=double]. Zusätzlich: Warnmeldung: Error in .local(object, ...) : the model object is not created or not valid Fehler: Moment matching failed. Perhaps you did not set 'save_all_pars' to TRUE when fitting your model?
I definitly saves all pars when I fitted the model (which makes a good amount of the models sizes). I have the assumption that this might be an error generaed deeper in the system. Maybe because of runnig out of RAM? I already set the objectsize in R on 7 GB because I ran in some problems fitting my models earlier. And I set the future.globals.maxSize up as well, because I needed this for
Edit: This happens also with a model around 300 MB. (I used thinning to get good ESS and maintain small model size). Although the RAM usage doesn’t exceed 5 GB in this case the error above occurs.
Has anyone a clue what the problem is and how I can overcome this obstacle?
Sincerely, Simon Schäfer
Operating System: Win10x64, 18363
Interface Version: 2.3.1