Wed, 09 Nov 2022

RcppArmadillo on CRAN: Updates

armadillo image

Armadillo is a powerful and expressive C++ template library for linear algebra and scientific computing. It aims towards a good balance between speed and ease of use, has a syntax deliberately close to Matlab, and is useful for algorithm development directly in C++, or quick conversion of research code into production environments. RcppArmadillo integrates this library with the R environment and language–and is widely used by (currently) 1027 packages other packages on CRAN, downloaded 26.9 million times (per the partial logs from the cloud mirrors of CRAN), and the CSDA paper (preprint / vignette) by Conrad and myself has been cited 503 times according to Google Scholar.

This release reflect as new upstream bugfix release 11.4.2 made recently by Conrad. To accomodate CRAN and their preference for at most a release per month, we held it back since the 11.4.0 release early October. As we usually do, we generally update once upstream Armadillo releases are made. When we do not immediately release to CRAN (in order to lower the release cadence), we make those “interim” releases available via GitHub source and the Rcpp drat repo.

This release also brings a rearranged, and as we think, simplified layout of the header files. All existing locations are still supported but we will be starting a (very patient and slow) transition at some point.

The full set of changes (since the last CRAN release follows.

Changes in RcppArmadillo version (2022-11-08)

  • Upgraded to Armadillo release 11.4.2 (Ship of Theseus)

    • more robust handling of corner cases in multi-threaded contexts
  • Internal header organisation with new sub-directories while providing full compatibility via existing paths (#395 #396)

Changes in RcppArmadillo version (2022-10-10) (GitHub Only)

  • Upgraded to Armadillo release 11.4.1 (Ship of Theseus)

    • fix data race in Cube::slice()

    • workarounds for false warnings emitted by GCC 12 when compiling with FORTIFY_SOURCE enabled (already in RcppArmadillo too)

Courtesy of my CRANberries, there is a diffstat report relative to previous release. 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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This post by Dirk Eddelbuettel originated on his Thinking inside the box blog. Please report excessive re-aggregation in third-party for-profit settings.

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