[This article was first published on Thinking inside the box , and kindly contributed to R-bloggers]. (You can report issue about the content on this page here)
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.
Earlier today, a minor update / maintenance release of
RcppGSL—our
interface package between
R and the
GNU GSL using our
Rcpp package for
seamless R and C++ integration—arrived on on
CRAN. It contains a number of minor
changes to accomodate changes in the CRAN Policies, as well as a few
extension to the main example Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.
fastLm, a faster replacement for
the standard lm function. The summary methods now provide more
information, and we added a number of new regression tests.
The NEWS file entry follows below:
And courtesy of CRANberries, a summary of the changes to the previous release 0.1.1 is available too.Changes in version 0.2.0 (2012-07-22)
summary() for fastLm() now displays more information
fastLmPure() now uses same argument order as R’s lm.fit()
Added more unit tests for fastLm() and related functions
Export and document S3 methods in NAMESPACE and manual page as such
Vignettes have been moved to the
vignettes/directoryMain vignette renamed to
RcppGSL-intro.pdfto use a filename different from the package reference manualNEWS file converted to .Rd format
inline support function no longer uses assignInNamespace
More information is on the RcppGSL page. Questions, comments etc should go to the rcpp-devel mailing list off the R-Forge page.
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 about learning R and many other topics. Click here if you're looking to post or find an R/data-science job.
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.