[R-sig-ME] heteroscedastic model in lme4
Renwick, A. R.
a.renwick at abdn.ac.uk
Thu Dec 18 12:23:46 CET 2008
I have been using the nlme package to run some LMM's, however I would like to try rerunning them using the lme4 package so that I can use mcmc sampling. The data I am using shows some heteroscesdasticity of the within error group and so I have been using the 'weights' argument and the varIdent variance function structure to allow different variances for each level of my factor (patch width).
My problem is how to code for a heteroscedastic model in lme4 and any suggestion wouuld be much apprecaited.
The code I used in the nlme package:
# model fit using "REML"
mrem<-lme(log(Nhat+1)~Group + GreenPerc + sess + crop + VegDensity + Group:sess + Group:VegDensity ,random=~1|Site, data=all,
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University of Aberdeen
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