The second update in the 0.12.* series of Rcpp is now on the CRAN network for GNU R. As usual, I will also push a Debian package. This follows the 0.12.0 release from late July which started to add some serious new features, and builds upon the 0.12.1 release in September. It also marks the sixth release this year where we managed to keep a steady bi-montly release frequency.
Rcpp has become the most popular way of enhancing GNU R with C or C++ code. As of today, 512 packages on CRAN depend on Rcpp for making analytical code go faster and further. That is up by more than fifty package from the last release in September (and we recently blogged about crossing 500 dependents).
This release once again features pull requests from two new contributors with Nathan Russell and Tianqi Chen joining in. As shown below, other recent contributors (such as such as Dan) are keeping at it too. Keep’em coming! Luke Tierney also email about a code smell he spotted and which we took care of. A big Thank You! to everybody helping with code, bug reports or documentation. See below for a detailed list of changes extracted from the NEWS file.
Changes in Rcpp version 0.12.2 (2015-11-14)
Changes in Rcpp API:
Correct return type in product of matrix dimensions (PR #374 by Florian)
Before creating a single String object from a
SEXP, ensure that it is from a vector of length one (PR #376 by Dirk, fixing #375).No longer use
STRING_ELTas a left-hand side, thanks to a heads-up by Luke Tierney (PR #378 by Dirk, fixing #377).Rcpp Module objects are now checked more carefully (PR #381 by Tianqi, fixing #380)
An overflow in Matrix column indexing was corrected (PR #390 by Qiang, fixing a bug …read more
Source:: r-bloggers.com
