I sent out this message a couple of days ago. Yet
received no reply.
There is a possibility that my description is not very
clear or example is not highly specific.
I am just wondering if anybody could point out (or
have seen) a similar function that can do this job for
lme model.
Thanks.
Note: forwarded message attached.
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Subject: predictive interval in nlme
To: r-help <r-help@stat.math.ethz.ch>
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Suppose I have the following data:
y x id
44 0 104
48 58 104
48 55 204
47 105 204
41 275 206
18 67 209
.......
I fit the model
>fit=lme(y~x+I(x^2),random=~1|id)
Now I want to make a prediction plot:
>time=seq(0,300,len=100)
>plot(predict(fit,data.frame(x=time),level=0))
Very fine. It gives me the prediction curve based on
the model. My further request is to make a confidence
bands around the curve. I guess I can derive its
mathematical form analytically and implement it
myself. But I just hope some experts can point out one
simple way in R to avoid my redundant work.
Thanks!
__________________________________
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