Rcpp 1.0.12 on CRAN: New Maintenance / Update Release
The Rcpp Core Team is once again thrilled to announce a new release
1.0.12 of the Rcpp package. It
arrived on CRAN early today,
and has since been uploaded to Debian as well. 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 should catch up
tomorrow. The release was uploaded yesterday, and run its reverse
dependencies overnight. Rcpp always
gets flagged nomatter what because the grandfathered
.Call(symbol) but … we had not single ‘change to worse’
among over 2700 reverse dependencies!
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, 2791 packages on CRAN depend on Rcpp for making analytical code go faster and further, along with 254 in BioConductor. On CRAN, 13.8% of all packages depend (directly) on Rcpp, and 59.9% of all compiled packages do. From the cloud mirror of CRAN (which is but a subset of all CRAN downloads), Rcpp has been downloaded 78.1 million times. The two published papers (also included in the package as preprint vignettes) have, respectively, 1766 (JSS, 2011) and 292 (TAS, 2018) citations, while the the book (Springer useR!, 2013) has another 617.
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 release version 1.0.12 (2024-01-08)
Changes in Rcpp API:
Missing header includes as spotted by some recent tools were added in two places (Michael Chirico in #1272 closing #1271).
Casts to avoid integer overflow in matrix row/col selections have neem added (Aaron Lun #1281).
Three print format correction uncovered by R-devel were applied with thanks to Tomas Kalibera (Dirk in #1285).
Correct a print format correction in the RcppExports glue code (Dirk in #1288 fixing #1287).
The upcoming
OBJSXPaddition to R 4.4.0 is supported in thetype2namemapper (Dirk and Iñaki in #1293).Changes in Rcpp Attributes:
- Generated interface code from base R that fails under LTO is now corrected (Iñaki in #1274 fixing a StackOverflow issue).
Changes in Rcpp Documentation:
The caption for third figure in the introductory vignette has been corrected (Dirk in #1277 fixing #1276).
A small formatting issue was correct in an Rd file as noticed by R-devel (Dirk in #1282).
The Rcpp FAQ vignette has been updated (Dirk in #1284).
The
Rcpp.bibfile has been refreshed to current package versions.Changes in Rcpp Deployment:
- The RcppExports file for an included test package has been updated (Dirk in #1289).
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).
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.
