[Solved] Pseudo R-squared for glm.cluster object

Nerd Asks: Pseudo R-squared for glm.cluster object
I have estimated several glms with cluster robust standard errors using the function glm.cluster() from the miceadds package in R.

Unfortunately, the function does not automatically calculate a pseudo R-squared. Moreover, I am unable to find a package for calculating a pseudo R-squared that is compatible with glm.cluster. So far, I have tried rcompanion‘s nagelkerke(), fmsb’s NagelkerkeR2() and even psfmi‘s rsq_nagel().

Did anyone else face this problem before and do you know how to resolve it without writing one’s own function?

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