[Rcpp-devel] Example of rcpp usage with Rmpfr, mpfr, gmp.

[Thell Fowler]

First, let me say what a great and I truly mean great tool inline and Rcpp
have been, along with R2.15-devel and the related Rtools ( now, no longer
-devel, so congrat on that! ).

I'm doing a massive amount of calculations with the hypergeometric
distribution, that in my original R code would take about 86 seconds to
process the first 100 tests, and after using Rcpp inline to prototype a
better solution, I was able to create a package (fairly easily) using the
skeleton function ( on Windows even ), then used parallel with StarCluster
on the Amazon AWS to process just shy of 400,000 tests in about 59 hours
across 120 cores.  Everything was great!  I then got about 40 pages into
the writeup of the results, theory, and proofs and found an error!

The error was caused by floating point calculation 'skewing' and now I need
to solve that!  Manual tests using Rmpfr at 160 bits, shows the anticipated
results ( at quad-precision 113 bit accuracy ).

Needless to say, this is going to really slow things down, but rather than
jump ship from R to a c++/boost/mpfr solution I'd like to be able to stick
with R, as that is what all the research has been done on for the last 18
months or so...

Simple and straight forward...

My two use cases are:

1)  Pass input as 'numeric', convert to multiprecision 160-bit, do
calculations using multiprecision lgamma values, and return an mpfr array
object.
2)  Pass input as mpfr objects (list or array), do calculations, and return
the modified values.

Any examples or direction on how (if I can) to get to a Rcpp Rmpfr bridge
with speed would go a long way...
-- 
Sincerely,
Thell
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