RcppArmadillo 0.9.700.2.0

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A new RcppArmadillo release based on a new Armadillo upstream release arrived on CRAN, and will get to Debian shortly. It brings continued improvements for sparse matrices and a few other things; see below for more details. I also appear to have skipped blogging about the preceding 0.9.600.4.0 release (which was actually extra-rigorous with an unprecedented number of reverse-depends runs) so I included its changes (with very nice sparse matrix improvements) as well.

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) 656 other packages on CRAN.

Changes in RcppArmadillo version 0.9.700.2.0 (2019-09-01)

  • Upgraded to Armadillo release 9.700.2 (Gangster Democracy)

    • faster handling of cubes by vectorise()

    • faster faster handling of sparse matrices by nonzeros()

    • faster row-wise index_min() and index_max()

    • expanded join_rows() and join_cols() to handle joining up to 4 matrices

    • expanded .save() and .load() to allow storing sparse matrices in CSV format

    • added randperm() to generate a vector with random permutation of a sequence of integers

  • Expanded the list of known good gcc and clang versions in configure.ac

Changes in RcppArmadillo version 0.9.600.4.0 (2019-07-14)

  • Upgraded to Armadillo release 9.600.4 (Napa Invasion)

    • faster handling of sparse submatrices

    • faster handling of sparse diagonal views

    • faster handling of sparse matrices by symmatu() and symmatl()

    • faster handling of sparse matrices by join_cols()

    • expanded clamp() to handle sparse matrices

    • added .clean() to replace elements below a threshold with zeros

Courtesy of 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.

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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