Algorithms for bayesian inference (MCMC) cannot run fast enough inside a
scripting language like R.
Most authors create plugins to call their fast binary (C/C++)
implementations inside of R. Just use them.
I recommend JAGS and rjags. Better errors messages and good support from
Plummer.

Cya

2012/3/29 Manuel Spínola <mspinola10@gmail.com>

> Dear list members,
>
> This is not a very specific question on R for ecological analysis, but is
> related.
>
> I have been in courses where R and WinBugs are used together for data
> analysis, however, I still don´t understand why R need to use WinBUGS to
> perform some bayesian analysis.
>
> I teach statistics through R for graduate students, however, teaching
> bayesian statistics using R and Winbugs is not so intuitive.  Is harder for
> them to grasp bayesian statistics in that way.  I have read form several
> authors that bayesian statistics is more intuitive than frecuentist
> statistics, however, doing through R and WInBUGS, is not the case for
> students.
>
> For example I think student will understand more what they are doing if
> they only see a line of code for R where you can specify everything and do
> it only in R, rather than writing things for R and things for WinBUGS.
>
> Is really WinBUGS necessary?  Is R not capable of doing the same type of
> analysis?
>
> Any input will be appreciated.
>
> Best,
>
> Manuel
>
> --
> *Manuel Spínola, Ph.D.*
> Instituto Internacional en Conservación y Manejo de Vida Silvestre
> Universidad Nacional
> Apartado 1350-3000
> Heredia
> COSTA RICA
> mspinola@una.ac.cr
> mspinola10@gmail.com
> Teléfono: (506) 2277-3598
> Fax: (506) 2237-7036
> Personal website: Lobito de río <
> https://sites.google.com/site/lobitoderio/>
> Institutional website: ICOMVIS <http://www.icomvis.una.ac.cr/>
>
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>


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