Mixed Models Module

Everything related to the development of modules in jamovi

by MAgojam » Sat Dec 16, 2017 8:40 pm

mcfanda@gmail.com wrote:I pushed a new master (0.9.7) with the last version of .nicifyTerm() as you suggested. In linux works well, it should be ok in other OS too.


It also works well with windows 7 and 10.

Cheers,
Maurizio
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by Farscape » Tue Jan 23, 2018 7:47 pm

Hi Marcello,

Thanks once again for your software. I have a question regarding your calculation of CI for the multinomial regression. I am getting different 95% CI when I run your module vs. when I run the multinom regression in R and SPSS. I am using multinom function in r.

Thanks,
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by mcfanda@gmail.com » Tue Jan 23, 2018 9:50 pm

Hi, thanks for the suggestion. Do you have a working example that I can check? In the meantime, please consider that the way you compute the CI for glm() models may influence the results. GAMLj relies on R emmeans package, which does not necessarely uses the exact same approach of other packages.

To give you a concrete example, I've noticed myself that emmeans CI are different (not drammatically) from confint() function CI in logistic regression. I was puzzled and I asked the emmeans developers. Their swift reply was quite convincing. Maybe we are talking about something similar here. Please check out https://github.com/rvlenth/emmeans/issues/7
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by Farscape » Wed Jan 24, 2018 5:04 pm

Thanks for the link! That might be the case since I used confint() function.
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by mcfanda@gmail.com » Wed Jan 24, 2018 9:54 pm

Good, please let us know if you see any other discrepancy
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by oguncak » Sat Feb 09, 2019 2:24 pm

is it possible to add factor loading values into path diagram as in amos?
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by mcfanda@gmail.com » Sun Feb 10, 2019 12:58 pm

Hi, it's not clear to me how you would add factor loadinga to a mixed model. If you intend mixed SEM, they are not implemented in gamlj, and it would take a while before we do that. Almost certainly, they will be in a different module.
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