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. Best, Shige On Sat, Oct 1, 2011 at 1:52 PM, Whit Armstrong <[email protected]> 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 <[email protected]> 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 >> <[email protected]> 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 <[email protected]> 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 <[email protected]> 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 >>>> [email protected] >>>> https://lists.r-forge.r-project.org/cgi-bin/mailman/listinfo/rcpp-devel >>> >> > _______________________________________________ Rcpp-devel mailing list [email protected] https://lists.r-forge.r-project.org/cgi-bin/mailman/listinfo/rcpp-devel
