st: SDT/ROC equal variance test

[James <james.e.heyman@gmail.com>]

I'm working on an SDT problem and the key hypotheses I'm testing  
requires the equal-variance assumption to hold. Is there a way to test  
this with the roc functions?  I assume there is and am justing missing  
it.  What I have so far:

1.  roctab produces a nice monotonic convex ROC curve.  But this is a  
non-parametric test so I'm not sure that helps much.

2.  the slope coefficient in rocfit is .97.  Is that the slope of the  
z-transformed ROC, which presumably would mean I'm good to go.  Does  
the fact that the ROC areas are similar across the non-parametric &  
binormal models do anything for me?

Thanks much.

James

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