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Friday, May 20, 2011. Summary MCMC plot from your own sampler runs. I was using BUGS/JAGS to do some sampling and the "bugs" object output that can be sent to the generic "plot" function that gives such nice summary results. I finally found "as.bugs.array", which can then be passed to "plot" and I finally get the nice summary plots I was so happy with when using BUGS/JAGS from R. So, suppose that we have two chains worth of samples for each of 5 variables. Sa - array(mymat,dim=c(n.iter,2,n.vars). I have ...

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Brand Odd | brandodd.blogspot.com Reviews

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Friday, May 20, 2011. Summary MCMC plot from your own sampler runs. I was using BUGS/JAGS to do some sampling and the bugs object output that can be sent to the generic plot function that gives such nice summary results. I finally found as.bugs.array, which can then be passed to plot and I finally get the nice summary plots I was so happy with when using BUGS/JAGS from R. So, suppose that we have two chains worth of samples for each of 5 variables. Sa - array(mymat,dim=c(n.iter,2,n.vars). I have ...

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2 library r2winbugs

3 nvars=5

4 plot aba

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6 colin hagrawal

7 no comments

8 labels bugs

9 computing

10 references in r

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Brand Odd | brandodd.blogspot.com Reviews

https://brandodd.blogspot.com

Friday, May 20, 2011. Summary MCMC plot from your own sampler runs. I was using BUGS/JAGS to do some sampling and the "bugs" object output that can be sent to the generic "plot" function that gives such nice summary results. I finally found "as.bugs.array", which can then be passed to "plot" and I finally get the nice summary plots I was so happy with when using BUGS/JAGS from R. So, suppose that we have two chains worth of samples for each of 5 variables. Sa - array(mymat,dim=c(n.iter,2,n.vars). I have ...

INTERNAL PAGES

brandodd.blogspot.com

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Brand Odd: Multi-core processing with R using "multicore" package

http://brandodd.blogspot.com/2011/05/multi-core-processing-with-r-using.html

Tuesday, May 17, 2011. Multi-core processing with R using "multicore" package. I have a "hand made" MCMC sampler written in R. However, when running it, it uses only one of my CPU's cores, of course. I would like to run each of the MCMC chains in its own process, which should be especially easy since they are independent runs, without need for data locks, or multi-threading, etc. Rmpi intro is available. A simple-looking package for arbitrary multicore processing seems to be this one. It looks like anoth...

2

Brand Odd: Computing Environment Setup for Writing and Statistical Computing and Reporting

http://brandodd.blogspot.com/2010/10/computing-environment-setup-for-writing.html

Wednesday, October 13, 2010. Computing Environment Setup for Writing and Statistical Computing and Reporting. Recently, in preparation for writing some math homework and to wrap up some summer research work, I discovered Sweave. Sweave, at least in one incarnation, integrates R programming language into Latex documents. Therefore, one gets the benefit of both programmed text and graphics (from Latex) and also from the programmed, reproducible, and parameterized statistics and graphics from R. Can use bib...

3

Brand Odd: Summary MCMC plot from your own sampler runs

http://brandodd.blogspot.com/2011/05/summary-mcmc-plot-from-your-own-sampler.html

Friday, May 20, 2011. Summary MCMC plot from your own sampler runs. I was using BUGS/JAGS to do some sampling and the "bugs" object output that can be sent to the generic "plot" function that gives such nice summary results. I finally found "as.bugs.array", which can then be passed to "plot" and I finally get the nice summary plots I was so happy with when using BUGS/JAGS from R. So, suppose that we have two chains worth of samples for each of 5 variables. Sa - array(mymat,dim=c(n.iter,2,n.vars). By Kali...

4

Brand Odd: October 2010

http://brandodd.blogspot.com/2010_10_01_archive.html

Wednesday, October 13, 2010. Computing Environment Setup for Writing and Statistical Computing and Reporting. Recently, in preparation for writing some math homework and to wrap up some summer research work, I discovered Sweave. Sweave, at least in one incarnation, integrates R programming language into Latex documents. Therefore, one gets the benefit of both programmed text and graphics (from Latex) and also from the programmed, reproducible, and parameterized statistics and graphics from R. Can use bib...

5

Brand Odd: July 2009

http://brandodd.blogspot.com/2009_07_01_archive.html

Monday, July 27, 2009. Subscribe to: Posts (Atom). I am a graduate student in Mathematical Behavioral Sciences at UC Irvine. I can be reached by email at kagrawal @ uci. View my complete profile. By Kalin Agrawal. Awesome Inc. template. Powered by Blogger.

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Brand Odd

Friday, May 20, 2011. Summary MCMC plot from your own sampler runs. I was using BUGS/JAGS to do some sampling and the "bugs" object output that can be sent to the generic "plot" function that gives such nice summary results. I finally found "as.bugs.array", which can then be passed to "plot" and I finally get the nice summary plots I was so happy with when using BUGS/JAGS from R. So, suppose that we have two chains worth of samples for each of 5 variables. Sa - array(mymat,dim=c(n.iter,2,n.vars). I have ...

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