Today we are excited to release version 1.1.6 of RStudio Package Manager and announce https://packagemanager.rstudio.com. This service builds on top of the work done by CRAN, to offer the R community:
install.packagesresulting in significantly faster package install times on Linux systems including cloud servers, CI/CD systems, and Docker containers.
We invite everyone to try this service, but please note we do not currently support package binaries for Mac OS though we are considering adding support in the future. The easiest way to get started is by visiting the Package Manager Setup Page. You can also view frequently asked questions or learn more about RStudio Package Manager.
This service builds off of the work done by CRAN and is a supplement to RStudio’s popular CRAN mirror. If CRAN were a brewery, Package Manager would be your local liquor store; Package Manager wouldn’t be possible without CRAN, but we hope it makes it a little easier to install packages without having to go to the (literal) source each time.
For package authors, before a package is available on Package Manager it must be accepted, tested, and distributed on CRAN. Package Manager watches for those updates and then carefully builds updated or new packages on additional operating systems and R versions, finally adding them as a versioned checkpoint.
For R users, Package Manager acts like a regular CRAN mirror, ensuring all the code you know how to write automatically works. Note that Package Manager can lag behind CRAN by a few days, so if you need the latest packages you can add both Package Manager and CRAN to your repo option.
In addition to using the Public Package Manager directly, R users can benefit from community integrations that access the service automatically:
The renv package helps R users manage package environments over time, and is able to use the service to provide faster install times and increase cross-platform project portability.
The actions package provides GitHub Actions for package authors taking advantage of CI/CD workflows such as automated testing. The package uses Public Package Manager to speed up actions and eliminate redundant package compilation.
The popular rocker project gives R users a convenient way to work with Docker. This ecosystem increasingly takes advantage of Public Package Manager to provide faster package installs within a container as well as versioned installs for reproducible research.
If your community project would benefit from Public Package Manager please create a topic on the RStudio Community.
RStudio does not provide direct support for this service you can get help through RStudio Community. The best way to ask a question is to create a topic on RStudio Community after reviewing the FAQ. This forum is also the best place to leave suggestions or feedback, we’re eager to learn how we can better support your needs!
If you are interested in learning more about how Package Manager works, these open source repositories provide information on how we build and distribute R, handle system requirements, and manage our build environment. Package Manager relies on the tireless work of a team of engineers, thousands of compute hours, and TBs of storage and network IO.
The RStudio Package Manager admin guide also provides details on how Package Manager interacts with CRAN, how it serves binary packages, and details the additional options available for on-premise use.
In addition to https://packagemanager.rstudio.com, the 1.1.6 release offers the community and customers incremental updates including:
With the vetiver package, data scientists have a streamlined, consistent way to maintain machine learning pipelines. We recently updated our Bike Share prediction application using vetiver and Quarto.
RStudio Package Manager 2022.07 now lets you publish your own binary packages, saving you time and frustration.