Dear all,
How does the effect() function in the effects package calculate effects and
standard errors for glm quasipoisson models? I was using effect() to calculate
the impact of increasing x to e + epsilon, and then finding the expected
percent change. I thought that this effect (as a percentage) should be
exp(beta*epsilon), where beta is the appropriate coefficient from the model,
but that's not what I'm getting using the effect() output.
Sorry for the lack of example-it would require toy data etc. and seems
unnecessary since my question is more conceptual.
Thanks,
Eileen
__________________________________________________________________________
This email message is for the sole use of the intended r...{{dropped:9}}
______________________________________________
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
