Dear all,

I am fitting a fairly simple 2 levels hierarchical  normal model with random
slopes:

 

lmer(score ~ cohort90 + female + sclassf + (1 + cohort90 + sclassf |
schoolid), data = mydata, REML = FALSE), with sclassf being a 4 category
factor.

 

I can fit this model without a problem on a Windows Desktop (and R 2.11.0)
and get sensible parameter estimates, matching the estimates obtained with
other software packages.

 

However when I tried to fit the same model on a 64 bit server, running R
x64 2.12.0 (and the latest update of lme4), I get the following error
message at the end of the model output:

 

#####

Warning message:

In mer_finalize(ans) : iteration limit reached without convergence (9)  

#####

 

I appreciate if anybody has a suggestion/idea as to why this is happening.

 

 Many thanks in advance

 

Camille

 

 

 

 

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 Dr Camille Szmaragd

 Research Associate

 School of Veterinary Science

 University of Bristol

 Langford BS40 5DU

 

 Camille.Szmaragd@bristol.ac.uk

 


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