Linear Mixed Models and ML and GAMlj 1.6

Everything related to the development of modules in jamovi

by rheredia@tamiu.edu » Fri Oct 18, 2019 6:35 pm

Hello,

I am trying to figure out an issue with jamovi. I am using jamovi 1.1.5 and GAMLj 1.60.
I am trying to run a linear mixed model using Maximum-likelihood and I get the following error:

object 'info.bic.not' found

I am assuming that it is trying to compute the BIC index?

Judging from some Youtube videos, it seems it used to work in GAMLj 1.5.0. It appears that the same issue is with windows. I wonder if it is a glitch?

Thank you so much for such a wonderful software,
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by jonathon » Fri Oct 18, 2019 10:53 pm

hi,

let me attend marcello to this. he should respond shortly.

kind regards
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by mcfanda@gmail.com » Sat Oct 19, 2019 8:10 am

Hi, it is a known bug in that version. Next week version 2.0.0 is out and it will be fixed
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by rheredia@tamiu.edu » Sat Oct 19, 2019 4:32 pm

Dear Jonathan,

Thank you so much!!!

Kind regards!

jonathon wrote:hi,

let me attend marcello to this. he should respond shortly.

kind regards
rheredia@tamiu.edu
 
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by rheredia@tamiu.edu » Sat Oct 19, 2019 4:33 pm

Dear Marcello,

Thank you!! I will be doing the analysis of my next experiment on jamovi only. Looking forward to use the 2.0 version,

Kind regards!

Roberto


mcfanda@gmail.com wrote:Hi, it is a known bug in that version. Next week version 2.0.0 is out and it will be fixed
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by TMK » Mon Mar 30, 2020 11:44 am

Hi,

I am using version 2.0 and I am too getting this object "info.bic" not found when trying to use regular ML, when using REML it's not coming up (however, then the model fit is singular).

DV = continuous (rating scale)
factor = categorial with 2 categories (yes, no)
covariate = continuous (physio. variable)
cluster = dyad
N = 50 dyads

Your help is greatly appreciated

Thank you
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by jonathon » Mon Mar 30, 2020 10:52 pm

hi TMK,

the latest version is 2.0.5 ... can you see if the issue still persists in that version. you may need to update to the 1.2.x series of jamovi in order to use the 2.0.5

cheers
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