Fixing residual variance in lme4

Hi everyone,

I am trying to fit a crossed random effect model with lme4. I want the
residual variance fixed to be 1. Below is the code I use. I am wondering
why the sigma=1 argument does not work as it does in the nlme package. Or
if there is another to fix the residual variance. Thanks so much!

example<- lmer(formula = g ~ 0 + (1|Study) + (1|Subscale),

+                data = meta, weights=Precision,
+                control=lmerControl(optimizer="bobyqa",sigma=1))

Error in lmerControl(optimizer = "bobyqa", sigma = 1) :
   unused argument (sigma = 1)



Best,
Sijia

	[[alternative HTML version deleted]]