RcppArmadillo 0.10.8.1.0 on CRAN: Upstream Updates

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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 language–and is widely used by (currently) 950 other packages on CRAN, downloaded over 22.9 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 451 times according to Google Scholar.

This release brings another upstream update 10.8.0, and first bug fix release 10.8.1. As updates by Conrad can come a little quicker than the desired monthly cadence CRAN aims for, we skipped the 10.8.0 release for CRAN only but of course generally provide them via the Rcpp drat repo as well as via general updates to the repo, and full reverse dependency testing (for which results are always logged here).

The full set of changes (since the last CRAN release 0.10.7.5.0) follows.

Changes in RcppArmadillo version 0.10.8.1.0 (2022-01-23)

  • Upgraded to Armadillo release 10.8.1 (Realm Raider)

    • fix interaction between OpenBLAS and LAPACK

    • emit warning if find() is incorrectly used to locate NaN elements

Changes in RcppArmadillo version 0.10.8.0.0 (2022-01-02)

  • Upgraded to Armadillo release 10.8 (Realm Raider)

    • faster handling of symmetric matrices by pinv() and rank()

    • faster handling of diagonal matrices by inv_sympd(), pinv(), rank()

    • expanded norm() to handle integer vectors and matrices

    • added datum::tau to replace

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.

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