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mtcars=data.frame(mtcars)
m=glm(vs~mpg+cyl+disp+hp+drat,family="binomial",data=mtcars)
m=glm(vs~wt,family="binomial",data=mtcars)

I seek to estimate pseudo-r-squared that is adjusted for number of predict values however I have not seen such a resource.

Is there a way to do so?

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You could manually calculate it as 1-(Residual Deviance/Null Deviance). Both deviances are in your model output.

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  • $\begingroup$ this does not count for one model have much more covariates than the other $\endgroup$
    – bvowe
    Commented Apr 6, 2019 at 13:11

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