Tue, 09 Feb 2021

RcppArmadillo 0.10.2.1.0: New Upstream Release

armadillo image

Armadillo is a powerful and expressive C++ template library for linear algebra aiming towards a good balance between speed and ease of use with a syntax deliberately close to a Matlab. RcppArmadillo integrates this library with the R environment and languageā€“and is widely used by (currently) 823 other packages on CRAN.

This release brings us Armadillo 10.2 with a few updates as detailed below in the list of changes. Upstream release 10.2 was made a couple of days ago, but we need to balance new upstream updates with a responsible release cadence at CRAN. As we needed a maintenance release in early January, I opted to wait four weeks with this one which hence gets us 10.2.0 and 10.2.1 at once. As tweeted (with a follow-up) it had yet another very smooth passage at CRAN so we again appreciate the excellent work of the CRAN maintainers and say Thank You!.

Anybody who desires more frequent updates show look at the RcppCore drat repo which provides more frequent interim updates. Here for example we also had 0.10.2.0.0 available for your testing pleasure.

Also of note is that here is now a Python variant pyarma for those who might want enjoy Armadillo with Python.

The full set of changes follows.

Changes in RcppArmadillo version 0.10.2.1.0 (2021-02-09)

  • Upgraded to Armadillo release 10.2.1 (Cicada Swarm)

    • faster handling of subcubes

    • added tgamma()

    • added .brief_print() for abridged printing of matrices & cubes

    • expanded forms of trimatu() and trimatl() with diagonal specification to handle sparse matrices

    • expanded eigs_sym() and eigs_gen() with optional shift-invert mode

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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