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Dirk Eddelbuettel: RcppArmadillo 15.2.4-1 on CRAN: Upstream Update

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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.

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