Rcpp 1.0.4 was released on March 17, following the usual sequence of fairly involved reverse-depends check along with a call for community testing issued weeks before the release. In that email I specifically pleaded with folks to pretty-please test non-standard setups:
It would be particularly beneficial if those with “unsual” build dependencies tested it as we would increase overall coverage beyond what I get from testing against 1800+ CRAN packages. BioConductor would also be welcome.
Alas, you can’t always get what you want. Shortly after the release we were made aware that the two (large) pull request at the book ends of the 1.0.3 to 1.0.4 release period created trouble. Of these two, the earliest PR in the 1.0.4 release upset older-than-CRAN-tested installation, i.e. R 3.3.0 or before. (Why you’d want to run R 3.3.* when R 3.6.3 is current is something I will never understand, but so be it.) This got addressed in two new PRs. And the matching last PR had a bit of sloppyness leaving just about everyone alone, but not all those macbook-wearing data scientists when using newer macOS SDKs not used by CRAN. In other words, “unsual” setups. But boy, do those folks have an ability to complain. Again, two quick PRs later that was addressed. Along came a minor PR with two more
Rcpp::Shield<> uses (as life is too short to manually count
UNPROTECT). And then a real issue between R 4.0.0 and Rcpp first noticed with RcppParallel builds on Windows but then also affecting RcppArmadillo. Another quickly issued fix. So by now the count is up to six, and we arrived at Rcpp 188.8.131.52.
Which is now on CRAN, after having sat there for nearly a full week, and of course with no reason given. Because the powers that be move in mysterious ways. And don’t answer to earthlings like us.
As may transpire here, I am little tired from all this. I think we can do better, and I think we damn well should, or I may as well throw in the towel and just release to the drat repo where each of the six interim versions was available for all to take as soon as it materialized.
Anyway, here is the state of things. Rcpp has become the most popular way of enhancing R with C or C++ code. As of today, 1897 packages on CRAN depend on Rcpp for making analytical code go faster and further, along with 191 in BioConductor. And per the (partial) logs of CRAN downloads, we are running steasy at one millions downloads per month.
The changes for this interim version are summarized below.
Changes in Rcpp patch release version 184.108.40.206 (2020-04-02)
Changes in Rcpp API:
A further updated corrected the header include and provided a missing else branch (Mattias Ellert in #1055).
Two more assignments are protect with
Rcpp::Shield(Dirk in #1059)
Changes in Rcpp Attributes:
Changes in Rcpp Deployment:
Thanks to 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) 2356 previous questions.