RcppArmadillo 0.12.6.4.0 on CRAN: Another Upstream Bugfix
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) 1096 other packages on CRAN, downloaded 30.5 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 552 times according to Google Scholar.
This release brings bugfix upstream release 12.6.4. Conrad prepared this a few days ago; it takes me the usual day or so to run reverse-dependency check against the by-now almost 1100 CRAN packages using RcppArmadillo. And this time, CRAN thought it had found two issues when I submitted and it took two more days til we were all clear about those two being false positives (as can, and does, happen). So today it reached CRAN.
The set of changes follows.
Changes in RcppArmadillo version 0.12.6.4.0 (2023-09-06)
Upgraded to Armadillo release 12.6.4 (Cortisol Retox)
Workarounds for bugs in Apple accelerate framework
Fix incorrect calculation of rcond for band matrices in
solve()Remove expensive and seldom used optimisations, leading to faster compilation times
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.
If you like this or other open-source work I do, you can sponsor me at GitHub.
This post by Dirk Eddelbuettel originated on his Thinking inside the box blog. Please report excessive re-aggregation in third-party for-profit settings.
