RcppGSL 0.2.5

July 13, 2015

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

A new version of RcppGSL arrived on CRAN a couple of days ago. This package provides an interface from R to the GNU GSL using our Rcpp package.

In the course of preparation for the higher-performance R via C++ course I gave in Zuerich last month, I overhauled this package, its embedded package (!!) showing how to build a package which uses R, C++ and the GSL (and which can serve as a fine example of how to build and R and C++ package using an external library), and also overhauled the vignette which discusses all these aspect. All examples now consistently use Rcpp Attributes.

The NEWS file entries follows below:

Changes in version 0.2.5 (2015-07-05)

  • The colnorm function in the included example package was rewritten to use Rcpp Attributes, the example package was updated and its version number increased to 0.0.3.

  • The unit tests also use the updated version of the example package.

  • The package, and the included example package, were updated throughout to conform to the current R CMD check standards.

  • The RcppGSL-intro vignette was updated throughout.

  • The Travis CI integration now uses r-cran-* packages which leads to faster tests.

Courtesy of CRANberries, a summary of changes to the most recent release is available.

More information is on the RcppGSL 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)