I have a negative binomial mixed model with counties nested within states. I've read that the formula for the ICC for a negative binomial model is:

found here: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3916583/
When I run VarCorr(m10), on my random intercept model, I get:
Groups Name Std.Dev.
state (Intercept) 0.22709
Could someone explain how to extract the other information from my glmer() model so that I can write a function to compute the ICC?
e.g., fixef(m10) gets me the intercept term.