RcppArmadillo 0.12.8.3.0 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) 1144 other packages on CRAN, downloaded 34.2 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 583 times according to Google Scholar.
Conrad released a new
upstream bugfix yesterday (for a corner case with fftw3).
We uploaded it yesterday too but it took a day for the hard-working CRAN maintainers to concur that
the one (!) NOTE from reverse-dependency checking over 1100 packages was
in a fact a false positve. And so it appeared on CRAN (very) early this morning. We
also made a change removing a long-redundant setter for C++11 mode via
the plugin. No other changes were made.
The set of changes since the last CRAN release follows.
Changes in RcppArmadillo version 0.12.8.3.0 (2024-05-07)
Upgraded to Armadillo release 12.8.3 (Cortisol Injector)
- Fix issue in
fft()andfft2()in multi-threaded contexts with FFTW3 enabledNo longer set C++11 for the Rcpp plugin as this standard has been the default by R for very long time now.
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.
