The somewhat regular monthly upstream Armadillo update brings us a first release of the 6.* series. This follows an earlier test release announced on the list, and released to the Rcpp drat. And as version 6.100.0 was released on Friday by Conrad, we rolled it into RcppArmadillo release 0.6.100.0.0 yesterday. Following yet another full test against all reverse dependencies, got uploaded to CRAN which has now accepted it. A matching upload to Debian will follow shortly.

Armadillo is a powerful and expressive C++ template library for linear algebra aiming towards a good balance between speed and ease of use with a syntax deliberately close to a Matlab.

This release a few changes:

Changes in RcppArmadillo version 0.6.100.0.0 (2015-10-03)

• Upgraded to Armadillo 6.100.0 (“Midnight Blue”)

  • faster norm() and normalise() when using ATLAS or OpenBLAS

  • added Schur decomposition: schur()

  • stricter handling of matrix objects by hist() and histc()

  • advanced constructors for using auxiliary memory by Mat, Col, Row and Cube now have the default of strict = false

  • Cube class now delays allocation of .slice() related structures until needed

  • expanded join_slices() to handle joining cubes with matrices

Courtesy of CRANberries, there is also a diffstat report for the most recent CRAN release. 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.

This post by Dirk Eddelbuettel originated on his Thinking inside the box blog. Please report excessive re-aggregation in third-party for-profit settings.