Return AICc from a GWR model

Question

I have run a geographically weighted regression (GWR) in R with the spgwr package and would like to extract the value of AICc and save it as separately.

However, this does not seem to be possible. So, what other ways are there to extract or calculate the AICc of GWR?

Alternatively, if this is not possible, how can we compare an GWR model and OLS model? The anova() is not very helpful, because it does not report a p-value.

Thank you!

Answer 1

if you print the returned gwr object, it will print aicc value(if you run the gwr()method for global test instead of fit.point prediction)

if you want the p value or compare gwr with OLS you can run the method BFC02.gwr.test(x) x is gwr object