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mcfadden
2008 Sep 26
0
Cross Validation output
...l in nature and thus I would like to
plot out spatially where the model is performing well and where it is
not. This would be somewhat akin to inspecting residuals in OLS. Is
there a way to output from cv.glm() the PEs for individual data points ?
3) My previous idea was to look at AIC, BIC, McFaddenR2 and PseudoR2 as
Goodness of Fit measures of each subset model. It appears that I can
modify the cost function of cv.glm() but I am not to confident in my
ability to write the correct cost function. Are there other valid
measures of GOF for my negative binomial model that I can substitute
int...