RcppArmadillo 0.3.2.3

[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.)

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.

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 

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.

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.



If you got this far, why not subscribe for updates from the site? Choose your flavor: e-mail, twitter, RSS, or facebook...

Comments are closed.

Search R-bloggers

Sponsors

Never miss an update!
Subscribe to R-bloggers to receive
e-mails with the latest R posts.
(You will not see this message again.)

Click here to close (This popup will not appear again)