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mageid
2007 Oct 01
0
Interpretation of residual variance components and scale parameters in GLMMs
...ma, and should simply be squared
to get the actual residual variance. In other words, and I am unsure
if glmmPQL actually estimates the residual variance component instead
of just scaling the expected value.
Here's a simplified example dataset (d) to explain what I mean:
d = data.frame( "maleID" = c(1,1,1,1,2,2,2,2,3,3,3,3,4,4,4,4),
"successes" = c(5,8,4,6,0,0,4,2,0,0,8,10,0,0,2,0), "status" =
c('a','a','a','a','b','b','a','a','b','b','a','a','b','b',...
2008 Sep 27
1
Using the mcmcsamp function
...sample I get the following error:
'Error in .local(object, n, verbose, ...) : Update not yet written'
Can anyone tell me what this means and how I can resolve it, I'm using R.
2.7.2 and updated 'lme4' yesterday
The code I use is as follows:
model<-lmer(FemApp~MaleWith+(1|MaleID)+(1|FemID),poisson,data=Compliance)
mcmp<-mcmcsamp(model3, n= 1000)
Thanks in advance
Parry