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) 1074 other packages on CRAN, downloaded 29.3 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 535 times according to Google Scholar.
This release brings a new upstream release 12.4.0 made by Conrad a day or so ago. I prepared the usual release candidate, tested on the over 1000 reverse depends (which sadly takes almost a day on old hardware), found no issues and sent it to CRAN. Where it got tested again and was once again auto-processed smoothly by CRAN within a few hours on a Friday night which is just marvelous. So this time I tweeted about it too.
The releases actually has a relatively small set of changes as a second follow-up release in the 12.* series.
Changes in RcppArmadillo version 0.12.4.0.0 (2023-05-26)
Upgraded to Armadillo release 12.4.0 (Cortisol Profusion Redux)
norm2est()for finding fast estimates of matrix 2-norm (spectral norm)
vecnorm()for obtaining the vector norm of each row or column of a matrix
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 R-Forge page.
If you like my open-source work, you may consider sponsoring me at GitHub.