RcppArmadillo 0.11.2.0.0 on CRAN: New Upstream
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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) 991 other packages on CRAN, downloaded over 25 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 476 times according to Google Scholar.
This release brings a second upstream fix by Conrad in the release series 11.*. We once again tested this very rigorously via a complete reverse-depedency check (for which results are always logged here). It so happens that CRAN then had a spurious error when re-checking on upload, and it took a fews days to square this as everybody remains busy – but the release prepared on June 10 is now on CRAN.
The full set of changes (since the last CRAN release 0.11.1.1.0) follows.
Changes in RcppArmadillo version 0.11.2.0.0 (2022-06-10)
Upgraded to Armadillo release 11.2 (Classic Roast)
faster handling of sparse submatrix column views by
norm()
,accu()
,nonzeros()
extended
randu()
andrandn()
to allow specification of distribution parametersinternal refactoring, leading to faster compilation times
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.
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