(This article was first published on Thinking inside the box , and kindly contributed to R-bloggers)

Conrad releaser version 3.2.3 of Armadillo a few days ago,
and the corresponding RcppArmadillo
package 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.  2012-07-01

    o   Upgraded to Armadillo release 3.2.3 

          * minor correction for declaration of fixed size vectors and

    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
          * 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 relative to
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.

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