Hi Martyn, On 26 November 2014 at 17:31, Martyn Plummer wrote: | I got that. It is an unusual use case, but not crazy. We have a complex | likelihood function that we want to expose to R's optimization methods | for maximum likelihood, but we also want to drop the same code into JAGS | for Bayesian analysis via MCMC.
Nice. That is a good setup, and I agree that Rcpp should support it. | The current code uses exclusively (Rcpp)Armadillo which works | transparently in both environments so there is now no need for any | emulation. Noted -- and just for the record, I tend to do exactly that for my work: use Armadillo classes for plain C++, and RcppArmadillo around it for R. That gets very good and trusted and behaviour, and thanks the updated converters from year also proper const, const &, ... behaviour at minimal cost. I really find that combination quite compelling. So ... with that, do you think it is really worth mucking with Rcpp::NumericVector to optimize const behaviour for what be an unusual use case for Rcpp::NumericVector (which is rarely taken out of the R context) ? Dirk -- http://dirk.eddelbuettel.com | @eddelbuettel | e...@debian.org _______________________________________________ Rcpp-devel mailing list Rcpp-devel@lists.r-forge.r-project.org https://lists.r-forge.r-project.org/cgi-bin/mailman/listinfo/rcpp-devel
