I'm trying to figure out if this common pseudo R-squared formula is acceptable for the GLM I am running. Here is the code and formula:
m1<- glm((AdjustedActivity3+1)~HDtype, family = Gamma(link = log), data = q2)
McFaden's pseudo r2 formula:
1-(m1$deviance/m1$null.deviance)
I wonder: does the Gamma family have a specific formula for an R-squared value in this case, or is McFaden's usage generally accepted?