Rcpp 1.0.11 on CRAN: Updates and Maintenance
The Rcpp Core Team is delighted to announce that the newest release 1.0.11 of the Rcpp package arrived on CRAN and in Debian earlier today. Windows and macOS builds should appear at CRAN in the next few days, as will builds in different Linux distribution–and of course at r2u. The release was finalized three days ago, but given the widespread use and extended reverse dependencies at CRAN it usually takes a few days to be processed. This release continues with the six-months January-July cycle started with release 1.0.5 in July 2020. As a reminder, we do of course make interim snapshot ‘dev’ or ‘rc’ releases available via the Rcpp drat repo and strongly encourage their use and testing—I run my systems with these versions which tend to work just as well, and are also fully tested against all reverse-dependencies.
Rcpp has long established itself as the most popular way of enhancing R with C or C++ code. Right now, 2720 packages on CRAN depend on Rcpp for making analytical code go faster and further, along with 251 in BioConductor. On CRAN, 13.7% of all packages depend (directly) on Rcpp, and 59.6% of all compiled packages do. From the cloud mirror of CRAN (which is but a subset of all CRAN downloads), Rcpp has been downloaded 72.5 million times. The two published papers (also included in the package as preprint vignettes) have, respectively, 1678 (JSS, 2011) and 259 (TAS, 2018) citations, while the the book (Springer useR!, 2013) has another 588.
This release is incremental as usual, generally preserving existing capabilities faithfully while smoothing our corners and / or extending slightly, sometimes in response to changing and tightened demands from CRAN or R standards.
The full list below details all changes, their respective PRs and, if applicable, issue tickets. Big thanks from all of us to all contributors!
Changes in Rcpp version 1.0.11 (2023-07-03)
Changes in Rcpp API:
Rcpp:::CxxFlags()now quotes only non-standard include path on linux (Lukasz in #1243 closing #1242).Two unit tests no longer accidentally bark on stdout (Dirk and Iñaki in #1245).
Compilation under C++20 using clang++ and its standard library is enabled (Dirk in #1248 closing #1244).
Use backticks in a generated
.Call()statement inRcppExports.R(Dirk #1256 closing #1255).Switch to
system2()to capture standard error messages in error cases (Iñaki in #1259 and #1261 fixing #1257).Changes in Rcpp Documentation:
Changes in Rcpp Deployment:
A test for
qnormnow uses the more accurate value from R 4.3.0 (Dirk in #1252 and #1260 fixing #1251).Skip tests with path issues on Windows (Iñaki in #1258).
Container deployment in continuous integrations was improved. (Iñaki and Dirk in #1264, Dirk in #1269).
Several files receives minor edits to please
R CMD checkfrom r-devel (Dirk in #1267).
Thanks to my CRANberries, you
can also look at a diff
to the previous release. Questions, comments etc should go to the rcpp-devel
mailing list off the R-Forge page.
Bugs reports are welcome at the GitHub issue tracker as
well (where one can also search among open or closed issues);
questions are also welcome under rcpp
tag at StackOverflow which also allows searching among the
(currently) 2994 previous questions.
If you like this or other open-source work I do, you can sponsor me at GitHub.
This post by Dirk Eddelbuettel originated on his Thinking inside the box blog. Please report excessive re-aggregation in third-party for-profit settings.
