Adjusted R Square For Binomial

Question

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?

score 1 · Answer 1 · answered Apr 05 '19 at 18:59

1

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

answered Apr 05 '19 at 18:59

SLi

this does not count for one model have much more covariates than the other – bvowe Apr 06 '19 at 13:11

1 Answers1