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2012 Oct 22
1
glm.nb - theta, dispersion, and errors
...issing value where TRUE/FALSE needed What happens is that, looking at theta iterations, values become too large, and thereby infinite, and thereby NaN. This is an example for model 2 above, with a theta of 4125 and a significantly smaller dispersion value than 1 of .903 (p<.000): >theta.ml: iter76 theta =1.34118e+16 >theta.ml: iter77 theta =3.0232e+16 >theta.ml: iter78 theta =-Inf >theta.ml: iter79 theta =NaN One symptom causes this problem: 1: In sqrt(1/i) : NaNs produced How would you recommend to deal with these problems? Are results reliable although these errors occur? Again...