RcppArmadillo 15.6.2-1 on CRAN: New Upstream
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) 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 months—so 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)
Upgraded to Armadillo release 15.6.2 (Medium Roast Cortado)
- Faster inplace addition of
eye()expressionsChanges in RcppArmadillo version 15.6.1-1 [github-only] (2026-10-02)
Upgraded to Armadillo release 15.6.1 (Medium Roast Cortado)
- Fix for failures in
pinv()when using the (non-default) "std" method
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.
