Hi,
I have a glm gives summary as follows,
Estimate Std. Error z value Pr(>|z|)
(Intercept) -2.03693352 1.449574526 -1.405194 0.159963578
A 0.01093048 0.006446256 1.695633 0.089955471
N 0.41060119 0.224860819 1.826024 0.067846690
S -0.20651005 0.067698863 -3.050421 0.002285206
then I use confint(k.glm) to obtain a confidnece interval for the estimates.
> confint(k.glm,level=0.97)
Waiting for profiling to be done...
1.5 % 98.5 %
(Intercept) -5.471345995 0.94716503
A -0.002340863 0.02631582
N -0.037028592 0.95590178
S -0.365570347 -0.06573675
while reading the help for 'confint', i found something like confint.glm for
general linear model.
I load the MASS package by clicking on the Menu( or otherwise how should I
load the package?)
then I still cant use the confint.glm command, what have I dont wrong?
How do I calculate this confidence interval for glm estimate manually??
for A, I use
0.01093048 + c(-1,1) * 0.006446256 * qt(0.985,df=77)
which is a different interval i got from the confint(k.glm,level=0.97)
above.
To be short, what's the right command to find the confidence interval for
glm estimats?
How do I verify it manully?
Thanks.
casper
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