Hello,
I'm trying to fit a generalized linear mixed model to estimate diabetes
prevalence at US county level. To do this I'm using the glmer() function in
package lme4. I can fit relatively simple models (i.e. few covariates) but when
expanding the number of covariates I usually encounter the following error
message.
gm8 <-
glmer(DIAB05F~AGE+as.factor(SEX)+poolt+poolx+poverty+fastfood+(1|as.factor(diab$fips)),
family = binomial(link="logit"), data = diab, doFit=TRUE)
Error in validObject(.Object) :
invalid class "mer" object: Slot Zt must by dims['q'] by dims['n']*dims['s']
In the above, the response is person-level diabetes status as a function of
AGE=age, SEX=sex, poolt=average county diabetes prevalence for previous years,
poolx=pooled county diabetes prevalence for counties with similar age, sex,
race, and income structure, poverty=county poverty rate, fastfood=number of
fastfood places per 100,000 people in the county, and a county random effect.
If I leave out fastfood, the model gets at least fitted - although it doesn't
converge (yet):
Warning message:
In mer_finalize(ans) : false convergence (8)
I would be grateful for any advice on what the problem could be and how to
resolve it.
Thanks,
Tanja
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