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 languageāand is widely used by (currently) 1245 other packages on CRAN, downloaded 39.4 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 628 times according to Google Scholar.
A new release arriveed at CRAN yesterday with a fix for
expmat()
and adjustments for clang++-20
. These
changes since the last CRAN
release are summarised below.
Changes in RcppArmadillo version 14.4.2-1 (2025-04-25)
Upgraded to Armadillo release 14.4.2 (Filtered Espresso)
Fix for
expmat()
Workaround for bugs in clang 20 compiler
Micro-cleanup in one test file
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.