All Questions
9 questions
0
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30
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Is it appropriate to calculate odds ratios from random effects glmm output?
Is it appropriate to calculate odds ratios from random effects glmm output?
about the data:
grown (binary): whether flower grows over a certain height (TRUE/FALSE)...
dasyer5
2
votes
0
answers
33
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How to fit a GLMM with multiple levels of nesting
I have some data I am struggling to process at the moment. I have landed on using generalized linear mixed models (GLMMs), but I am having a very hard time wrapping my head around it.
I have a large ...
- 21
5
votes
0
answers
250
views
Calculating ICC for a beta-binomial GLMM
I understand that ICC in binomial GLMMs with a logit link can be calculated via R, where the residual deviance is (pi ^ 2) / 3. However, this is assuming that the ...
- 51
2
votes
0
answers
350
views
GLMM model formulation with a partial "subcondition"
I am modeling reaction times in a GLMM using the lme4 package. My data have the following structure:
Subject ID
Reaction times (RT)
Distractor type (Type): (3 levels): moving - static - no distractor
...
- 61
2
votes
1
answer
638
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Binomial GLMM (GLMER) with proportions in unbalanced, observational panel data: nesting issues and errors
Thanks in advance.
I am new to mixed models and having several doubts about a mixed model (lme4's glmer, binomial) with multiple levels, measuring a proportion [0,1] in three time periods.
My data ...
- 372
3
votes
1
answer
2k
views
GLMM optimiser test - optimx.L-BFGS-B doesn't converge, but the rest do
I am running GLMM using lme4 in R for the first time. I have a complex model (with three main effects and four interactions), as well as a random intercept of ...
- 95
3
votes
1
answer
2k
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Basic multilevel modeling help in r with glmer
I am looking at school data, and wondering if school level disproportionate discipline affects the academic outcomes of students.
The data I have are by student, with demographic information, an ...
- 428
9
votes
0
answers
2k
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When and why do I have to use "trait" for multinomial multilevel models with MCMCglmm in R?
I want to estimate a multilevel multinomial logit model but I am struggling with the terminology and notation used by the R-package MCMCglmm. There is documentation ...
4
votes
1
answer
4k
views
Specifying a multilevel model in MCMCglmm (R), that is heteroskedastic at level one
I am considering MCMCglmm as an alternative to MLwiN. The former package works perfectly fine, but I cannot figure out how to model heteroskedasticity at level one. For instance, if I have the ...
- 560