[R-sig-ME] Clarification of lme random effects syntax
Ben Bolker
bbolker at gmail.com
Sat Jul 27 22:21:12 CEST 2013
AvianResearchDivision <segerfan83 at ...> writes:
>
> Hi all,
>
> I am looking for some clarification in the syntax of the random effects
> found in a mixed model written in 'lme'. I have determined that I need
> both random intercepts (longitudinal data) and random slopes (investigation
> of lattice plots and preliminary model fitting) for a model I'm working
> on. However, where I am unclear is whether to write the fixed effects as:
>
> Option A: random=~MeanUrban|Male
>
> Option B: random=~1+MeanUrban|Male
>
> Option C: random=list(~1|Male, ~0+MeanUrban|Male)
>
> Option D: random=list(~1|Male, ~MeanUrban-1|Male)
>
> I know this has to do with correlated random effects and part of that
> decision is made by visual inspection of the raw data, but part of it has
> to be based on some sort of quantitative conclusion based on the results of
> the models. Please advise of how to proceed. Thank you for your time.
A and B are identical. So are C and D.
You could do a likelihood ratio test or use AIC to try to decide
whether to incorporate a correlation between intercept and slope
across individuals, with the usual caveats (neither approach
accounts for finite-size effects, nor boundary effects: see
http://glmm.wikidot.com/faq ).
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