RcppArmadillo 0.12.2.0.0 on CRAN: New Upstream Minor
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) 1052 other packages on CRAN, downloaded 28.6 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 522 times according to Google Scholar.
This release brings a new upstream release 12.2.0 made by Conrad a day or so ago. We prepared the usual release candidate, tested on the over 1000 reverse depends, found no issues and sent it to CRAN. Where it got tested again and was auto-processed smoothly by CRAN.
The releases actually has a relatively small set of changes as a first follow-up release in the 12.2.* series.
Changes in RcppArmadillo version 0.12.2.0.0 (2023-04-04)
Upgraded to Armadillo release 12.2.0 (Cortisol Profusion Deluxe)
more efficient use of FFTW3 by
fft()andifft()faster in-place element-wise multiplication of sparse matrices by dense matrices
added spsolve_factoriser class to allow reuse of sparse matrix factorisation for solving systems of linear equations
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 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.
