

To install specific versions of R packages, specify this URL as the repository of your CRAN library ( AWS | Azure | GCP)when you create the library. Updating R packages can be tedious if you have to reinstall the packages over and over again when some has a newer version. The snapshots are available at where is the date of the desired snapshot, for example. The Microsoft R Application Network maintains a CRAN Time Machine that stores a snapshot of CRAN every night. Updating RStudio, R, and your packages is, for the most part. How I update packages using RStudio The Downsides of Updating. I click the update button, which shows me which packages need updating, and then update them all. When you use the Libraries UI or API ( AWS | Azure | GCP) to install R packages on all the instances of a cluster, we recommend the third option. If I don’t update packages through this function, I use the packages tab in RStudio.

If you have an outdated dependency installed, it will be updated as well. Start a new R session and run the following: update.packages (checkBuiltTRUE, askFALSE) Then you should be good to go. When you use the install.packages() function to install CRAN packages, you cannot specify the version of the package, because the expectation is that you will install the latest version of the package and it should be compatible with the latest version of its dependencies.
