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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?

smndpln
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Greg Hill
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  • This Q&A http://stats.stackexchange.com/questions/11676/pseudo-r-squared-formula-for-glms?rq=1 has many useful links to resources for and against pseudo $R^2$. – mdewey Dec 18 '16 at 18:07

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