RInside 0.2.6
[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.
A new version of
RInside,
now at 0.2.6, is now available
via CRAN.
RInside provides
a set of convenience classes which facilitate embedding of R
inside of C++ applications and programs, using the classes and functions provided by the
Rcpp R and C++
integration package.
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.
This release has an additional fix for the Windows use case, adds cmake support files for the examples, switches to using the same RNG initialization of time and process id that R uses, and other minor fixes.
All changes since the last release are summarized below:
CRANberries also provides a short report with changes from the previous release. More information is on the RInside page. Questions, comments etc should go to the rcpp-devel mailing list off the Rcpp R-Forge page.2012-01-11 Dirk Eddelbuettel * DESCRIPTION: Release 0.2.6 * DESCRIPTION: Updated Description: text 2012-01-08 Dirk Eddelbuettel * src/RInside.cpp: Correct console writer on Windows to not use Rprintf (with thanks to both James Bates and John Brzustowski) * src/RInside.cpp: Update RNG seeding to same scheme now used by R which blends both (millisecond) time and process id * src/RInside.cpp: Replace fprintf(stderr,...) with Rf_error(...) * src/setenv/setenv.c: Idem * inst/examples/*: Added CMake build support for all example directories kindly provided by Peter Aberline; this helps when coding inside of IDEs such as Eclipse, KDevelop or Code::Blocks * inst/examples/standard/Makefile.win: Allow for an R_ARCH variable to be set to enforce either i386 or x64 builds
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.