[R] How to get the error and error variance after HB using bayesm

[Bert Gunter]

This is primarily about statistics, not R, and so is off topic here. I
believe you would do better posting on a stats site like
stats.stackexchange.com, where you could engage in a full (and likely
complicated) discussion of the pros and cons of Bayesian regression
vs. standard frequentist approaches.

Cheers,
Bert

Bert Gunter
Genentech Nonclinical Biostatistics
(650) 467-7374

"Data is not information. Information is not knowledge. And knowledge
is certainly not wisdom."
Clifford Stoll




On Fri, Feb 13, 2015 at 11:46 AM, ARNAB KR MAITY <maity at math.niu.edu> wrote:
> Hello Michael,
>
> I have a question here. Does Bayesian paradigm deal with MSE kind of stuff?
>
> Thanks & Regards,
> Arnab
>
>
>
> Arnab Kumar Maity
> Graduate Teaching Assistant
> Division of Statistics
> Northern Illinois University
> DeKalb, IL 60115
> Email: maity at math.niu.edu
> Ph:     779-777-3428
>
> On Fri, Feb 13, 2015 at 4:45 AM, Michael Langmaack <
> Michael.Langmaack at the-klu.org> wrote:
>
>> 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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>>
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>
> ______________________________________________
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