RcppArmadillo 15.2.4-1 on CRAN: Upstream Update
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) 1235 other packages on CRAN, downloaded 44.9 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 672 times according to Google Scholar.
This versions updates to the 15.2.4 upstream Armadillo release from yesterday. The package has already been updated for Debian, and for r2u. This release, which we as usual checked against the reverse-dependencies, brings minor changes over the RcppArmadillo release 15.2.3 made in December (and described here) by addressing some corner-case ASAN/UBSAN reports (which Conrad, true to his style of course labels as ‘false positive’ just how he initially responded that he would ‘never’ add a fix based on such a false report; as always it is best to just watch what does as he is rather good at it, and, written comments notwithstanding, quite responsive) as well as speed-ups for empty sparse matrices. I made one more follow-up refinement on the OpenMP setup which should now ‘just work’ on all suitable platforms.
The detailed changes since the last release follow.
Changes in RcppArmadillo version 15.2.4-1 (2026-03-17)
Upgraded to Armadillo release 15.2.4 (Medium Roast Deluxe)
Workarounds for bugs in GCC and Clang sanitisers (ASAN false positives)
Faster handling of blank sparse matrices
Refined OpenMP setup (Dirk in #500)
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 Rcpp R-Forge page.
This post by Dirk Eddelbuettel originated on his Thinking inside the box blog. If you like this or other open-source work I do, you can sponsor me at GitHub.
