One month ago I started work on a new side project which is now up and running, and deserving on an introductory blog post: r2u. It was announced in two earlier tweets (first, second) which contained the two (wicked) demos below also found at the documentation site.
So what is this about? It brings full and complete CRAN installability to Ubuntu LTS, both the ‘focal’ release 20.04 and the recent ‘jammy’ release 22.04. It is unique in resolving all R and CRAN packages with the system package manager. So whenever you install something it is guaranteed to run as its dependencies are resolved and co-installed as needed. Equally important, no shared library will be updated or removed by the system as the possible dependency of the R package is known and declared. No other package management system for R does that as only
apt on Debian or Ubuntu can — and this project integrates all CRAN packages (plus 200+ BioConductor packages). It will work with any Ubuntu installation on laptop, desktop, server, cloud, container, or in WSL2 (but is limited to Intel/AMD chips, sorry Raspberry Pi or M1 laptop). It covers all of CRAN (or nearly 19k packages), all the BioConductor packages depended-upon (currently over 200), and only excludes less than a handful of CRAN packages that cannot be built.
Setup instructions approaches described concisely in the repo README.md and documentation site. It consists of just five (or fewer) simple steps, and scripts are provided too for ‘focal’ (20.04) and ‘jammy’ (22.04).
Check out these two demos (also at the r2u site):
The r2u setup can be used directly with
dpkg or any other frontend to the package management system). Once installed
apt update; apt upgrade will take care of new packages. For this to work, all CRAN packages (and all BioConductor packages depended upon) are mapped to names like
r-bioc-s4vectors: an r prefix, the repo, and the package name, all lower-cased. That works—but thanks to the wonderful bspm package by Iñaki Úcar we can do much better. It connects R’s own
apt. So we can just say (as the demos above show)
install.packages("brms") and binaries are installed via
apt which is fantastic and it connects R to the system package manager. The setup is really only two lines and described at the r2u site as part of the setup.
Turning CRAN packages into .deb binaries is not a new idea. Albrecht Gebhardt was the first to realize this about twenty years ago (!!) and implemented it with a single Perl script. Next, Albrecht, Stefan Moeller, David Vernazobres and I built on top of this which is described in this useR! 2007 paper. A most excellent generalization and rewrite was provided by Charles Blundell in an superb Google Summer of Code contribution in 2008 which I mentored. Charles and I described it in this talk at useR! 2009. I ran that setup for a while afterwards, but it died via an internal database corruption in 2010 right when I tried to demo it at CRAN headquarters in Vienna. This peaked at, if memory serves, about 5k packages: all of CRAN at the time. Don Armstrong took it one step further in a full reimplemenation which, if I recall correctly, coverd all of CRAN and BioConductor for what may have been 8k or 9k packages. Don had a stronger system (with full RAID-5) but it also died in a crash and was never rebuilt even though he and I could have relied on Debian resources (as all these approaches focused on Debian). During that time, Michael Rutter created a variant that cleverly used an Ubuntu-only setup utilizing Launchpad. This repo is still going strong, used and relied-upon by many, and about 5k packages (per distribution) strong. At one point, a group consisting of Don, Michael, Gábor Csárdi and myself (as lead/PI) had financial support from the RConsortium ISC for a more general re-implementation , but that support was withdrawn when we did not have time to deliver.
We should also note other long-standing approaches. Detlef Steuer has been using the openSUSE Build Service to provide nearly all of CRAN for openSUSE for many years. Iñaki Úcar built a similar system for Fedora described in this blog post. Iñaki and I also have a arXiv paper describing all this.
Please see the the r2u site for all details on using r2u.
The help of everybody who has worked on this is greatly appreciated. So a huge Thank you! to Albrecht, David, Stefan, Charles, Don, Michael, Detlef, Gábor, Iñaki—and whoever I may have omitted. Similarly, thanks to everybody working on R, CRAN, Debian, or Ubuntu—it all makes for a superb system. And another big Thank you! goes to my GitHub sponsors whose continued support is greatly appreciated.