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2 votes
0 answers
33 views

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 ...
Joseph's user avatar
  • 21
3 votes
1 answer
75 views

When should grouping variables interact in a mixed-effects model?

I was reading this post which is relevant to a research project I'm working on now. I think that I understand the difference between crossed and nested random effects, e.g. as described here. The ...
wzbillings's user avatar
0 votes
1 answer
254 views

Can I use Gls() or glmer() to predict binary outcomes with restricted cubic splines predictors?

I'm new to rms, as I read the rms book and notes, I saw that the Gls() function could be used to make a longitudinal growth ...
Yzh's user avatar
  • 1
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 ...
KrisBae's user avatar
  • 61
3 votes
1 answer
136 views

What are marginal and conditional errors in a GLMM?

I'm modifying my ecology paper according to what the reviewers suggested but I have an issue with one statistical-related question. I ran a GLMM in lme4 on R to model the presence/absence of a certain ...
Ginevra B's user avatar
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 ...
Amy's user avatar
  • 95
4 votes
1 answer
5k views

Level-2 predictions with lme4/glmer model

Let's say I've fitted a 2 level model with glmer like this: ...
user2840286's user avatar