RcppArmadillo 0.9.300.2.0

March 22, 2019

(This article was first published on Thinking inside the box , and kindly contributed to R-bloggers)

armadillo image

A new RcppArmadillo release based on a new Armadillo upstream release arrived on CRAN and Debian today.

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) 583 other packages on CRAN.

The (upstream-only this time) changes are listed below:

Changes in RcppArmadillo version 0.9.300.2.0 (2019-03-21)

  • Upgraded to Armadillo release 9.300.2 (Fomo Spiral)

    • Faster handling of compound complex matrix expressions by trace()

    • More efficient handling of element access for inplace modifications in sparse matrices

    • Added .is_sympd() to check whether a matrix is symmetric/hermitian positive definite

    • Added interp2() for 2D data interpolation

    • Added expm1() and log1p()

    • Expanded .is_sorted() with options "strictascend" and "strictdescend"

    • Expanded eig_gen() to optionally perform balancing prior to decomposition

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.

To leave a comment for the author, please follow the link and comment on their blog: Thinking inside the box .

R-bloggers.com offers daily e-mail updates about R news and tutorials on topics such as: Data science, Big Data, R jobs, visualization (ggplot2, Boxplots, maps, animation), programming (RStudio, Sweave, LaTeX, SQL, Eclipse, git, hadoop, Web Scraping) statistics (regression, PCA, time series, trading) and more...

If you got this far, why not subscribe for updates from the site? Choose your flavor: e-mail, twitter, RSS, or facebook...

Comments are closed.

Search R-bloggers


Never miss an update!
Subscribe to R-bloggers to receive
e-mails with the latest R posts.
(You will not see this message again.)

Click here to close (This popup will not appear again)