RStudio analyzes how the California Department of Public Health built a COVID-19 dashboard in R and Shiny that now serves millions of California citizens. Read more →

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: Access to pre-compiled packages on Linux via install.packages resulting in significantly faster package install times on Linux systems including cloud servers, CI/CD systems, and Docker containers. Historical checkpoints for CRAN enabling reproducible work, and even time travel, by freezing package dependencies with a one-line repository option. Read more →

RStudio Package Manager 1.1.2 introduces beta support for Windows package binaries. These binaries make it easier and faster to install R packages on Windows Desktop. With this release, all the benefits of Package Manager are available to desktop users including versioned repositories, curated subsets of CRAN, centralized access to CRAN, Git, local packages, and usage tracking. Now data scientists on Windows can easily share work, collaborate, and spend more time doing analysis instead of debugging packages. Read more →

Earlier this month we announced RStudio Package Manager version 1.1.0, a major update to RStudio Package Manager that added support for: Faster package installs on Linux with pre-compiled binaries Easier installs through the display of system requirements A calendar of repository checkpoints to make it easier to reproduce work This patch release updates the 1.1.0 version without introducing any new features. The 1.1.0.1 patch fixes a bug in the prior release that impacts performance when serving binary packages from historical checkpoints. Read more →

No interruptions. That was our team’s goal for RStudio Package Manager 1.1.0 - we set out to make R package installation fast enough that it wouldn’t interrupt your work. More and more data scientists use Linux environments, whether to access extra horsepower during development or to run production code in containers. Unfortunately, the rise in Linux environments has seen a corresponding increase in package installation pain. For Windows and Mac OS, CRAN provides pre-compiled binary packages that install almost instantly, but the same binaries are not available on Linux. Read more →

Installing R packages on Linux systems has always been a risky affair. In RStudio Package Manager 1.0.8, we’re giving administrators and R users the information they need to make installing packages easier. We’ve also made it easier to use Package Manager offline and improved search performance. New to RStudio Package Manager? Download the 45-day evaluation today to see how RStudio Package Manager can help you, your team, and your entire organization access and organize R packages. Read more →

The 1.0.6 release of RStudio Package Manager helps R users understand packages. The primary feature in this release is embedded package READMEs, detailed below. If you’re new to Package Manager, it is an on-premise product built to give teams and organizations reliable and consistent package management. Download an evaluation today. View package READMEs in Package Manager Package READMEs Many R packages have rich README files that can include: Read more →

We all love packages. We don’t love when broken package environments prevent us from reproducing our work. In version 1.0.4 of RStudio Package Manager, individuals and teams can navigate through repository checkpoints, making it easy to recreate environments and reproduce work. The new release also adds important security updates, improvements for Git sources, further access to retired packages, and beta support for Amazon S3 storage. New to RStudio Package Manager? Read more →

We’re excited to announce the general availability of our newest RStudio professional product, RStudio Package Manager. RStudio Package Manager helps your team, department, or entire organization centralize and organize R packages. Get started with the 45 day evaluation today! With more than 13,000 packages in the R ecosystem, managing the packages you and your teams need can be challenging. R users naturally want the latest, but everyone benefits from reproducibility, stability, and security in production code. Read more →