Does R provides a dependency management tool?

[cderv]

I think you will be interested in the Package Management channel. I will move your thread there.

This is also related to a topic there

How do you isolate packages environments for R data products in production?

Another common question when we discuss RStudio Package Manager is how to manage multiple users installing different versions of the same packages. Consider, for example, the case where you’ve developed a Shiny application that requires ggplot 2.2.1, but for a new project your colleague wants to use the tidyverse which requires ggplot 3.0. To understand the answer, it is important to understand the difference between a repository and a library. A repository contains uninstalled (though sometimes compiled) R packages. A repository can hold one or more versions of a package. A library contains an installed package, tied to a specific version of R. A library can only contain one version of ea…

Here is a list of tools that I know of and that could be useful to you

• packrat from rstudio is a great way to isolate environment. it uses a packrat.lock file for storing dependencies
  • See also webinars
• jetpack is designed as a CLI, above packrat. Another approach really interesting, that uses a DESCRIPTION file - the same used for package.
• rsuite , a more integrated solution
• automagic uses a deps.yaml to then automatically install missing dependency.
• deplearning which will scan a code to identify missing dependencies
• autoinst does basically the same. Install missing dependencies.

based on the way you asked your question, the two first could be of interest to you.

Personnaly, I currently use packrat for dependencies management to prepare deployment.