RcppArmadillo 0.11.2.4.0 on CRAN: Bugfix and Deprecation
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) 1016 packages other packages on CRAN, downloaded 26.2 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 493 times according to Google Scholar.
This new release (made yesterday) brings three changes. First, it updates the release to the upstream 11.2.4 bugfix release made days ago by Conrad. Second, it contains support for the deprecation transition we are managing in issue #391. In short, the (convenient but non-standard) initialization via use of << has been deprecated upstream. Until all packages are updated, we override this in the RcppArmadillo but aim to become ‘compliant’. Out of the over 1000 packages, a mere 25 need small adjustments. I reached out email and PRs, and the response has been great. Eight packages are already updated on CRAN, and several others have already in integrated or merged the change. Lastly, Conrad pointed out that the fastLm() example and application can be written more concisely by using arma::dot().
The full set of changes (since the last CRAN release 0.11.2.3.1) follows.
Changes in RcppArmadillo version 0.11.2.4.0 (2022-09-09)
Upgraded to Armadillo release 11.2.4 (Classic Roast)
- fix handling of
std::move()involving matrices constructed with auxiliary memoryIn the
fastLm()examples, usearma::dot()to compute to the inner product (as proposed by Conrad), plus small editsSupport optional
#definenamedRCPPARMADILLO_FORCE_DEPRECATEto suppress use ofARMA_IGNORE_DEPRECATED_MARKERpermitting use and development under deprecation
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.
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.
