Dear Sue,
I am also having problems with this. As far as I can gather the predict
function will work with geeglm to give you predicted values from the model
but it does not produce the standard errors automatically.
I have posted a similar question and have had no answers. However, I know
that there must be a way to do this?!
Did you manage to find the answer? Or can anybody else help?
Thanks
Anna
Li, Sue wrote:
Hello R-helpers,
I would like to calculate the standard error for the predicted value
from geeglm.
As an example, I would like to calculate the GEE mean of treatments and
their standard error. I first specified the model as
mod - geeglm(resp ~ trt,
data=dat,id=id,family=Gaussian,corstr=ar1,weights=weight)
Then I predicted the GEE mean and se using the following code
pred.mean -
predict(mod,data.frame(trt=factor(unique(dat$trt),levels=levels(dat$trt)
)),se=T)
I got the error message Error in XRinv^2 %*% rep(res.var, p) :
non-conformable arguments.
Thanks for your help,
Sue
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