jamovi

Much obliged, Jonathon!

After the most recent update, I'm experiencing this known problem . Is there anything I can do on on the client side to restore functionality, or is it just a matter of waiting for an update to get pushed? Thank you! Jamovi was installed via Flathub; system is EndeavourOS Linux x86_64, 6.15.2-zen1-1...

Since missing data is the problem, I'd encourage you to consider imputation, and determine if it's appropriate for your use case. Both the jamovi modules BSS and jYS offer an imputation feature which might be useful to you.

Understood, thank you for following up and the explanation. Trust me, I'm well aware of the major update of GAMLj. I check the jamovi modules everyday for that update, because I use GAMLj more than anything else. Thank you so much for continuing to develop GAMLj!

These trainings sound like they could be treated as ordinal data, in which case a cumulative link mixed model would be appropriate.

Certainly! I did some more testing, and the failure seems to only occur when correlation by blocks is used. Adding a second random effect to a second block breaks the analysis. As you can see from the attached screenshot, "math | school" is never added to the model; the analysis stalls ins...

The Generalized Mixed Model test is no longer functioning as expected following the latest jamovi update (v. 2.4.2). However, the General Linear Model, Mixed Model, and Generalized Linear Model tests are functioning as expected. Can anyone else verify please?

Very glad to hear it! Thank you for continuing to develop GAMLj; it has been of great use to my research.

Thank you for replying! I can't speak for how others might use it, but I can give you an example of how I would. Sometimes I model the height of animals in trees. In a complete data set, the height of the animal and the tree is available, so then the exact animal height can be modelled while tree he...