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
OBJSXP
addition to R 4.4.0 is supported
in the type2name
mapper (Dirk and I aki in #1293).
- Changes in Rcpp Attributes:
- Generated interface code from base R that fails under LTO is now
corrected (I aki 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.bib
file 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.