search for: randomeffects

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2006 Jul 20
1
Loss of numerical precision from conversion to list ?
...e~age,random=~1|Subject,data=Orthodont) # summary(m1) # ... # Random effects: # Formula: ~1 | Subject # (Intercept) Residual # StdDev: 2.114724 1.431592 -> lambda.REML=2.114^2/1.431^2 = 2.182382 #DesignMatrix for fixed Effects X<-cbind(rep(1,108),Orthodont$age) #DesignMatrix of RandomEffects Z<-matrix(data=c(rep(1,4),rep(0,108)),nrow=108,ncol=27) #Corr(RanEf)^0.5 = 27 x 27 Identity, since RandomIntercepts are independent sqrt.Sigma<-diag(27) K<-27 #number of subjects/ random intercepts n<-nrow(X) p<-ncol(X) lambda0 <- 2.182382 #actually not a sensible choice as Nu...