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Multinomial logit with random effects does not converge using mblogit
I would like to estimate a random effects (RE) multinomial logit model.
I have been applying mblogit from the mclogit package. However, once I introduce RE into my model, it fails to converge.
Is ther...
Barbora
Votes: 0
Answers: 0
How can I incorporate a categorical variable with ~200 levels in a nonlinear mixed effects model in R?
I am trying to fit a nonlinear mixed effects model with a categorical variable genotype that has around 200 levels.
So this is the linear version of the model.
mlinear <- lmer(WUE ~ moisture * geno...
Jon
Votes: 0
Answers: 2
Comparing mixed models: singular fit for random effect group but only in some models. Should I drop RE group from all models or just where singular?
I am fitting several mixed models using the lmer function in the package lme4, each with the same fixed effects and random effects, but different response variables. The purpose of these models is to ...
Oscar Clendon
Votes: 0
Answers: 2
SAS proc glm random effects model with contrasts translated into R
My apologies for any errors; I only recently began learning SAS. I was given this SAS code (the code below is a reprex, not the exact code) that uses proc glm to assumedly make a random effects model....
jrcalabrese
Votes: 0
Answers: 1