RcppArmadillo 0.8.400.0.0

March 1, 2018
By

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

armadillo image

RcppArmadillo release 0.8.400.0.0, originally prepared and uploaded on February 19, finally hit CRAN today (after having been available via the RcppCore drat repo for a number of days). A corresponding Debian release was prepared and uploaded as well. This RcppArmadillo release contains Armadillo release 8.400.0 with a number of nice changes (see below for details), and continues our normal bi-monthly CRAN release cycle (slight delayes in CRAN processing notwithstanding).

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) 450 other packages on CRAN.

A high-level summary of changes follows.

Changes in RcppArmadillo version 0.8.400.0.0 (2018-02-19)

  • Upgraded to Armadillo release 8.400.rc2 (Entropy Bandit)

    • faster handling of sparse matrices by repmat()

    • faster loading of CSV files

    • expanded kron() to handle sparse matrices

    • expanded index_min() and index_max() to handle cubes

    • expanded randi(), randu(), randn(), randg() to output single scalars

    • added submatrix & subcube iterators

    • added normcdf()

    • added mvnrnd()

    • added chi2rnd()

    • added wishrnd() and iwishrnd()

  • The configure generated header settings for LAPACK and OpenMP can be overridden by the user.

  • This release was preceded by two release candidates which were tested extensively.

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

Sponsors

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)