Rcpp 0.9.13
[This article was first published on Thinking inside the box , and kindly contributed to R-bloggers]. (You can report issue about the content on this page here)
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.
The bug-fix in version 0.9.12 of Rcpp
turned out to be incomplete, so a new version 0.9.13 is now on CRAN and will get to Debian shortly.
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.
The Rcpp::Enviroment
constructor is now properly fixed (using
the global environment as a default value). As well, a new
#define
was created to detect the clang++ compiler before/after
version 3.0.0 as one exceptions header changed location. Unit tests files were
also once more updated.
The complete NEWS entry for 0.9.13 is below; more details are in the ChangeLog file in the package and on the Rcpp Changelog page.
Thanks to CRANberries, you can also look at a diff to the previous release 0.9.12. As always, even fuller details are on the Rcpp Changelog page and the Rcpp page which also leads to the downloads, the browseable doxygen docs and zip files of doxygen output for the standard formats. A local directory has source and documentation too. Questions, comments etc should go to the rcpp-devel mailing list off the R-Forge page0.9.13 2012-06-28 o Truly corrected Rcpp::Environment class by having default constructor use the global environment, and removing the default argument of global environment from the SEXP constructor o Added tests for clang++ version to include bits/exception_defines.h for versions 3.0 or higher (similar to g++ 4.6.0 or later), needed to include one particular exceptions header o Made more regression tests conditional on the RunAllRcppTests to come closer to the CRAN mandate of running tests in sixty seconds o Updated unit test wrapper tests/doRUnit.R as well as unitTests/runTests.R
To leave a comment for the author, please follow the link and comment on their blog: Thinking inside the box .
R-bloggers.com offers daily e-mail updates about R news and tutorials about learning R and many other topics. Click here if you're looking to post or find an R/data-science job.
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.