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Dear S-news users
This is my first posting on this user group mailing
list. I just started using Splus for my master's thesis, and I hope finding some
help.
I am running a 2-level mixed effects model with
subjects (level 1) nested within firms (level 2). Both subjects and firms are
fitted as random intercept. In the model the dependent variable is binary (use)
and I'm trying to predict the determinants for use of protective equipment in a
workplace.
Before fitting the mixed model, I ran a gee model
where the coefficients obtained are used as starting parameters for the REPQL
integration method.
This model ran smoothly. My problem arises when I
run the mixed model itself as I get the following warning
message:
FALSE CONVERGENCE. in: ms( ~ - logLik(glmeSt, glmePars), start =
list(glmePars =
c(coef(glmeSt))), control = ....
I could not figure out what this warning means
, and the iterations are stopped.
Can anyone offer some help?
Thank you very much
Hind
P.S.: this is the command I used for the mixed model
sratglme <- glme(use ~ ethn + gender + curr.exp + time + DOB
+ wd.dp + wd.group +
jobduration, random = ~ 1 | mill/studyno1, data = "" family
= binomial(
link = "logit"), start = sratgee$coefficients, method =
"REPQL")
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