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Dirk Eddelbuettel: RcppArmadillo 15.2.3-1 on CRAN: Upstream Update

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Dirk Eddelbuettel: RcppArmadillo 15.2.3-1 on CRAN: Upstream Update

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) 1272 other packages on CRAN, downloaded 43.2 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 661 times according
to Google Scholar.

This versions updates to the 15.2.3 upstream Armadillo release from
yesterday. It brings minor changes over the RcppArmadillo 15.2.2 release
made last month (and described in
this post). As noted previously, and due to both the upstream
transition to C++14 coupled with the CRAN move away from C++11, the
package offers a transition by allowing packages to remain with the
older, pre-15.0.0 ‘legacy’ Armadillo yet offering the
current version as the default. If and when CRAN will have nudged (nearly) all
maintainers away from C++11 (and now also C++14 !!) we can remove the
fallback. Our offer to help with the C++ modernization still stands, so
please get in touch if we can be of assistance. As a reminder, the
meta-issue #475
regroups all the resources for the C++11 transition.

There were no R-side changes in this release. The detailed changes
since the last release follow.

Changes in
RcppArmadillo version 15.2.3-1 (2025-12-16)

  • Upgraded to Armadillo release 15.2.3 (Medium Roast Deluxe)

    • Faster .resize() for vectors

    • Faster repcube()

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.