Pseudo R2 after maxlik

Is there someone that can help me in computing pseudo R2 after estimation using Maximum Likelihood MT 2.0?

 

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What sort of model are you estimating?   The formula depends on the type of model.  You would need a null model and then the pseudo R2 would be

1 - exp((2/N) * (logLik(0) - logLik(x)))

where logLik(x) is the logLikelihood from the full model, and logLik(0) is that from the null model.  This is a version of the Cox and Snell pseudo R2.

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