RcppArmadillo 0.12.8.2.0 on CRAN: Upstream Fix
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) 1136 other packages on CRAN, downloaded 33.5 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 578 times according to Google Scholar.
This release brings a new upstream bugfix release Armadillo 12.8.2 prepared by Conrad two days ago. It took the usual day to noodle over 1100+ reverse dependencies and ensure two failures were independent of the upgrade (i.e., “no change to worse” in CRAN parlance). It took CRAN another because we hit a random network outage for (spurious) NOTE on a remote URL, and were then caught in the shrapnel from another large package ecosystem update spuriously pointing some build failures that were due to a missing rebuild to us. All good, as human intervention comes to the rescue.
The set of changes since the last CRAN release follows.
Changes in RcppArmadillo version 0.12.8.2.0 (2024-04-02)
Upgraded to Armadillo release 12.8.2 (Cortisol Injector)
Workaround for FFTW3 header clash
Workaround in testing framework for issue under macOS
Minor cleanups to reduce code bloat
Improved documentation
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.
