Peter Maclean pmaclean2011 at 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
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
2 matches
Mail list logo
