Hello all,
I have a question concerning bayesian regression in R using the package bayesm
(version 2.2-5) by Peter Rossi. I have binary choice data and estimated
individual coefficients using the command rhierBinLogit(Data=Data,Mcmc=Mcmc).
That worked out properly, conversion plots, histograms, parameter are fine. No
a have to compute the errors and the error variance or something like the MSE.
But I do not know how to do. I did not find a hint so far. I would be more than
happy if anybody can help me. Thanks in advance!
Best regards,
Michael
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