
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 languageβand is
widely used by (currently) 1370 other packages on CRAN, downloaded 49.4 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 735 times according
to Google Scholar.
This versions updates to the 15.6.2 upstream Armadillo release made
yesterday. It, along with 15.6.1 release we incorporated earlier,
addresses only minor issues and should not present any user-facing
changes. As usual, we did run full reverse-depdency checks against the
over 1300 ackages, and did not find anything. As usual, we aim to
accommodate the desired CRAN
cadences for uploads and try not to exceed six in six monthsβso we did
not ship 15.6.1-1 there. The package has also already been updated for
Debian, built for r2u and r-universe, and
will build shortly at CRAN for
the different binary releases.
All changes since the last CRAN release follow.
Changes in
RcppArmadillo version 15.6.2-1 (2026-10-16)
Changes
in RcppArmadillo version 15.6.1-1 [github-only] (2026-10-02)
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.