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 [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.