Pseudo R2 In R Package. Generally pseudo-R2 measures are problematic because R2 is not defined for models where the total variance to be explained is not fixed. Or r2 now also computes the best approximated r-squared for mixed models with zero-inflation - something which other packages.
Should mimic those returend from a logisticprobit regression in Stata when using fitstat Usage. I dont know which if any of these might make sense for this kind of model. Definitions for pseudo r-squared values based mostly on log likelihood values are given by UCLA IDRE.
Generally pseudo-R2 measures are problematic because R2 is not defined for models where the total variance to be explained is not fixed.
Pseudo-R2 Statistics Description Returns various pseudo-R2 statistics as well as Akaikes corrected information criterion from a glm object. Due to the latest package updates r2_nakagawa. Returns various pseudo- R2 statistics as well as Akaikes corrected information criterion from a glm object. What the package does short line Description Usage Arguments Details Value Authors References Examples.
