RcppArmadillo 0.12.8.4.0 on CRAN: 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) 1151 other packages on CRAN, downloaded 34.6 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 584 times according to Google Scholar.
Conrad released a new
upstream bugfix yesterday (to improve views of sparse matrices). We
uploaded it yesterday too but it once agfain took a day for the
hard-working CRAN maintainers
to concur that the two NOTEs from reverse-dependency checking over 1100
packages were in a fact false positves. And so it appeared on CRAN earlier today. We also
increased the versioned dependency on Rcpp to match the use of optional
entry-point headers Rcpp/Light, Rcpp/Lighter
and Rcpp/Lightest. No other changes were made.
The set of changes since the last CRAN release follows.
Changes in RcppArmadillo version 0.12.8.4.0 (2024-05-30)
Upgraded to Armadillo release 12.8.4 (Cortisol Injector)
- Faster handling of sparse submatrix views
Update versioned Depends on Rcpp to 1.0.8 or later to match use of Light/Lighter/Lightest headers.
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.
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This post by Dirk Eddelbuettel originated on his Thinking inside the box blog. Please report excessive re-aggregation in third-party for-profit settings.
