On 18 August 2012 at 16:24, Stephen J. Barr wrote:
|
|
| On Sat, Aug 18, 2012 at 3:46 PM, Dirk Eddelbuettel <[email protected]> wrote:
|
|
| On 18 August 2012 at 14:08, Stephen J. Barr wrote:
| | Hello,
| |
| | I have a quick design question. I am working on a program that uses
| RInside and
| | RcppEigen, and I want to expose a function back to R. Specifically, I
| have a
| | C++ function with the following signature:
| |
| | double nll_singleton(
| | const VectorXd& theta,
| | const MatrixXd& ua,
| | const MatrixXd& ub,
| | const MatrixXd& Xmat,
| | const MatrixXd& Ymat);
| |
| | I would like to run R's optim over this function, where 'theta' is the
| vector
| | that I am optimizing over. Would I use RCpp::InternalFunction for this?
|
| Per rinside_sample9.cpp, possibly.
|
| | nll_singleton is going to call MPI and I would rather do it this way
than
| use
| | mpi over R, if this is possible.
|
| Right.
|
| What I meant was, rather than recode everything in R and use Rmpi.
Understood.
| I guess my question was, say I use RCpp::InternalFunction with nll_singleton,
| can I just pass in a vector and a few matrices like:
|
| >R.parseEval("nll_singleton(c(1,2,3), matrix(1:10, nrow=3), ...etc..")
|
| ?
|
| I would think that I would have to define some mapping back to the Eigen
| matrices.
I don't know. That's something you will have to work out.
Dirk
--
Dirk Eddelbuettel | [email protected] | http://dirk.eddelbuettel.com
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