[Rcpp-devel] Help with an Rcpp and CppBugs example

[Whit Armstrong]

Please have a look here.

It's a simple linear model using inline and cppbugs:
https://github.com/armstrtw/CppBugs/tree/master/test/r.inline.example

-Whit


On Sat, Oct 1, 2011 at 3:29 PM, Dirk Eddelbuettel <edd at debian.org> wrote:
>
> On 1 October 2011 at 15:03, Shige Song wrote:
> | Any examples showing how CppBugs and Rcpp work together will be good.
> | I am particularly interested in knowing how GLM models and GLMM models
> | can be estimated that way.
> |
> | Thanks in advance.
>
> Well, maybe you should really try these two things:
>
>  i)  take the five or six small examples in Whit's git repo, and read up on
>      the inline package and its cxxfunction() to wrap them -- given the
>      /working example/ I just provided you yesterday, this is not all that hard.
>
>  ii) take glm / glmm code you and try to make it work with CppBugs in
>      standalone mode as per Whit's examples in hit repo.  Then revisit i)
>      and wrap it too.
>
> Dirk
>
> | Best,
> | Shige
> |
> | On Sat, Oct 1, 2011 at 1:52 PM, Whit Armstrong <armstrong.whit at gmail.com> wrote:
> | > I'm happy to provide more examples of cppbugs with inline and Rcpp.
> | >
> | > Is there something in particular you had in mind?
> | >
> | > -Whit
> | >
> | >
> | > On Sat, Oct 1, 2011 at 7:05 AM, Shige Song <shigesong at gmail.com> wrote:
> | >> Dear Whit,
> | >>
> | >> I have been playing with other examples you provided in the github
> | >> repository. The one Dirt sent, however, is the only example that I can
> | >> find from the internet showing how CppBugs works with Rcpp (and R). As
> | >> I see it, such a combination has great potential providing a flexible
> | >> yet powerful Bayesian computational tool.
> | >>
> | >> Very nice work, and thanks for the suggestion.
> | >>
> | >> Best,
> | >> Shige
> | >>
> | >> On Fri, Sep 30, 2011 at 10:06 PM, Whit Armstrong
> | >> <armstrong.whit at gmail.com> wrote:
> | >>> Shige,
> | >>>
> | >>> That example is quite dated at this point.  The CppBugs api has
> | >>> changed a lot since then and is likely to change more in the near
> | >>> future.
> | >>>
> | >>> Please git pull the latest from github, and ping me if you have any issues.
> | >>>
> | >>> There are also quite a few pure c++ examples the the 'test' dir to get
> | >>> you started.
> | >>>
> | >>> In the next major release of CppBugs you will be able to declare the
> | >>> objects directly in R, but give me a few months to get that working.
> | >>>
> | >>> -Whit
> | >>>
> | >>>
> | >>> On Fri, Sep 30, 2011 at 9:40 PM, Shige Song <shigesong at gmail.com> wrote:
> | >>>> Dear Dirk,
> | >>>>
> | >>>> Thank you very much for the suggestions and the upated file. Your file
> | >>>> actually works flawlessly on my system. It looks really interesting
> | >>>> and educational.
> | >>>>
> | >>>> Thanks also for the great work on Rcpp, really amazing piece of
> | >>>> software you got there.
> | >>>>
> | >>>> Best,
> | >>>> Shige
> | >>>>
> | >>>> On Fri, Sep 30, 2011 at 9:11 PM, Dirk Eddelbuettel <edd at debian.org> wrote:
> | >>>>>
> | >>>>> Shige,
> | >>>>>
> | >>>>> There is no way to sugarcoat this: you have to learn to live with, and learn
> | >>>>> from, the compiler errors and relate them to the actual code. Using Rcpp
> | >>>>> still means programming in the context of a C++ compiler.
> | >>>>>
> | >>>>>
> | >>>>> You also need Whit's CppBugs repo from github _installed somewhere_ so that
> | >>>>>
> | >>>>>  #include <cppbugs/cppbugs.hpp>
> | >>>>>
> | >>>>> works. Plus the same for Conrad's Armadillo as we have
> | >>>>>
> | >>>>>  #include <armadillo>
> | >>>>>
> | >>>>> And to top it all off, you probably need a bunch of Boost installed as
> | >>>>> CppBugs uses it.  If all that is a given, then you can run the attached file
> | >>>>> 'whit.r' as I do below. This file served as in example in the Rcpp workshop
> | >>>>> in April and I just fetched it from my sources. The version posted then is
> | >>>>> likely a little outdated.  But this one works:
> | >>>>>
> | >>>>> $ r whit.R
> | >>>>> Loading required package: methods
> | >>>>>   user  system elapsed
> | >>>>>  0.220   0.020   0.236
> | >>>>> $b
> | >>>>> [1] -0.3303790  0.5276294
> | >>>>>
> | >>>>> $ar
> | >>>>> [1] 0
> | >>>>>
> | >>>>> $
> | >>>>>
> | >>>>> Whether you use Rscript or r (from littler) does not matter.  The updated
> | >>>>> whit.r is attached.  It builds and runs, I have no idea if it makes any
> | >>>>> sense... I think it regresses y ~ X with both being noise so there.
> | >>>>>
> | >>>>> Hope this helps,  Dirk
> | >>>>>
> | >>>>>
> | >>>>>
> | >>>>>
> | >>>>> --
> | >>>>> New Rcpp master class for R and C++ integration is scheduled for
> | >>>>> San Francisco (Oct 8), more details / reg.info available at
> | >>>>> http://www.revolutionanalytics.com/products/training/public/rcpp-master-class.php
> | >>>>>
> | >>>>>
> | >>>> _______________________________________________
> | >>>> Rcpp-devel mailing list
> | >>>> Rcpp-devel at lists.r-forge.r-project.org
> | >>>> https://lists.r-forge.r-project.org/cgi-bin/mailman/listinfo/rcpp-devel
> | >>>
> | >>
> | >
> | _______________________________________________
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> | Rcpp-devel at lists.r-forge.r-project.org
> | https://lists.r-forge.r-project.org/cgi-bin/mailman/listinfo/rcpp-devel
> --
> New Rcpp master class for R and C++ integration is scheduled for
> San Francisco (Oct 8), more details / reg.info available at
> http://www.revolutionanalytics.com/products/training/public/rcpp-master-class.php
>