[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.
Conrad releaser version 3.2.3 of Armadillo a few days ago,
and the corresponding RcppArmadillo
package 0.3.2.3 is now CRAN. (For
these keeping score 3.2.1 never was a full release, and 3.2.2 containing
fixes for a build issue that did not affect the R package build so we skipped it.)
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.
The short NEWS entry follows below. This version fixes some issues related to g++ 4.7; however the current Debian testing version of g++-4.7.1 required that I rolled back three header files to the version from the previous release. Conrad has been in contact with the gcc upstream maintainers and a fix may appear in time for g++-4.7.2.
This release also contains a new introductory pdf vignette based on a paper Conrad and I just submitted. It introduces Armadillo to R programmers and demonstrates with a simple Kalman filtering example how the code can be written in the same concise matrix-oriented style, yet runs orders of magnitude faster.
Courtesy of CRANberries, there is also a diffstat report for 0.3.2.3 relative to 0.3.2.0 As always, more detailed information is on the RcppArmadillo page. Questions, comments etc should go to the rcpp-devel mailing list off the R-Forge page.0.3.2.3 2012-07-01 o Upgraded to Armadillo release 3.2.3 * minor correction for declaration of fixed size vectors and matrices o Reverted three header files {Mat,Row,Col}_bones.hpp back to previous release due to compilation failures under g++-4.7 o Added new vignette 'RcppArmadillo-intro' based on a just-submitted introductory paper (by Eddelbuettel and Sanderson) about RcppArmadillo o Change from release 3.2.2 which we skipped as it did not really affect builds under R: * minor fix for compiling without debugging enabled (aka release mode) * better detection of ATLAS during installation on Fedora and Red Hat systems o Small enhancement to fastLm
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.