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

[Shige Song]

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 <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
>>>>>
>>>>>
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>>>
>>
>