Peter Maclean yahoo.com> writes:
>
> In glm() you can use the summary() function to recover
> the shape parameter (the reciprocal of the
> dispersion parameter). How do you recover the scale parameter?
> Also, in the given example, how I estimate
> and save the geometric mean of the predicted v
In glm() you can use the summary() function to recover the shape parameter (the
reciprocal of the dispersion parameter). How do you recover the scale
parameter? Also, in the given example, how I estimate and save the geometric
mean of the predicted values? For a simple model you can use fitted()
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