It's inappropriate to use the p-values associated with the coefficients for
that purpose. They tell you how sure you can be, based on the data you
have, that they are not equal to zero.
Prof. Fox's `effects' package on CRAN would be a better place to look, I
think. I believe there's an JSS article describing the package as well.
Andy
From: Joost van Evert>
> Hi list,
>
> I have trained a logistic regression model on three diverse features.
> Now I want to compare these values to get an idea of their
> influence on
> the result. For most features the summary function returns
> p-values that
> equal zero, which makes the p-values unusable.
>
> I have the intuition it is impossible to compare the relevance of the
> features based on their parameter values as their ranges are quite
> different.
>
> Is it possible to compare the relevance of features on their
> parameters,
> if their range differs?
>
> Regards,
>
> Joost
>
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