Rcpp 0.9.6 went to CRAN yesterday; an updated Windows binary should now be
available too. This is maintenance release which provides some help for
RcppEigen, allow user-specified finalisers in XPtr and has two new examples.
Cheers, Dirk
0.9.6 2011-07-26
o Added helper traits to facilitate implementation of the RcppEigen
package: The is_eigen_base traits identifies if a class derives from
EigenBase using SFINAE; and new dispatch layer was added to wrap() to
help RcppEigen
o XPtr now accepts a second template parameter, which is a function
taking a pointer to the target class. This allows the developper to
supply his/her own finalizer. The template parameter has a default
value which retains the original behaviour (calling delete on the
pointer)
o New example RcppGibbs, extending Sanjog Misra's Rcpp illustration of
Darren Wilkinson's comparison of MCMC Gibbs Sampler implementations;
also added short timing on Normal and Gaussian RNG draws between Rcpp
and GSL as R's rgamma() is seen to significantly slower
o New example on recursively computing a Fibonacci number using Rcpp and
comparing this to R and byte-compiled R for a significant speed gain
--
Gauss once played himself in a zero-sum game and won $50.
-- #11 at http://www.gaussfacts.com
_______________________________________________
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
