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Obtaining R-squared value in Logistic Regression

On Nov 8, 2012, at 1:58 PM, hoguejm <hoguejm at gmail.com> wrote:

            
You might want to look at the lrm() function in Frank's 'rms' package on CRAN, which will provide Nagelkerke's pseudo R^2 as part of the model output. However, be sure you understand what it means in the context of logistic regression. It is not the same as the R^2 in OLS regression.

Regards,

Marc Schwartz