I have a couple quick questions about the use of cv.glm for
cross-validation.

1. If we have a Poisson GLM with counts Y~Poisson(mu) and
ln(mu)=beta0+beta1*x1+..., is the prediction error (delta) that is output
from cv.glm provided in terms of the counts (y) or the (mu)?

2. Can cv.glm be used for negative binomial models fit using glm.nb? It
appears to work, but since NB models aren't strictly GLM's I wanted to
check.

Thanks!

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