Fitting a generalized mixed effects model

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dh34
dh34 il 31 Lug 2015
Commentato: dh34 il 4 Ago 2015
Hi there,
I am trying to fit a generalized mixed effects model for data with a binomial distribution (binomial size = 1) yet, although I do get some model fit statistics, the "fitglme" function does not return any coefficients. The code that I am using is copied below and the data table is attached:
Lme = fitglme(Table,'Error ~ 1 + G0 + G1 + G2 + (1|Trials) + (1|Subjs)',...
'Distribution','Binomial','BinomialSize',1,...
'Link','logit',...
'FitMethod','MPL');
Please help, Thanks very much.

Risposte (1)

Sruthi Ayloo
Sruthi Ayloo il 4 Ago 2015
Hi Chris,
From your question, I understand that you want to fit a generalized effects model for your data with a binomial distribution of size 1. Using “table.mat” and the command you mentioned in the question, I see the following statistics when I display your model:
To access the co-efficients in a matrix format, you can use the following command:
Lme.Coefficients
ans =
Fixed effect coefficients: DFMethod = 'residual', Alpha = 0.05
Name Estimate SE tStat DF pValue Lower Upper
'(Intercept)' -1.9861 0.27292 -7.2772 7300 3.7621e-13 -2.5211 -1.4511
'G0' 0.23288 0.060126 3.8733 7300 0.00010833 0.11502 0.35075
'G1' -0.031703 0.053529 -0.59227 7300 0.55369 -0.13663 0.073228
'G2' -0.055686 0.042758 -1.3024 7300 0.19284 -0.13951 0.028132
Can you let the user community know what do you mean by “fitglme” does not return any co-efficients, as this will help us answer your question in a better way.
Refer to the following link for more information on how use "fitglme" with an example: fitglme
  1 Commento
dh34
dh34 il 4 Ago 2015
I'm sorry I'm very confused. I didn't ask this question and I don't recognise it at all. I find it odd, if someone had coopted my user details you would think they would do something more nefarious than ask complicated statistics questions with it.
I'm sorry your time was wasted, I will delete this question tomorrow.
Many thanks, Chris

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