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



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