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A Fresh Approach to R Package Installation

pak installs R packages from CRAN, Bioconductor, GitHub, URLs, gitrepositories, local files and directories. It is an alternative toinstall.packages() anddevtools::install_github(). pak is fast, safe andconvenient.

• 🚀 Short tour
• 🔗 Quick links (start here if indoubt!)
• ✨ Features
• ⬇️ Installation
• 📘 License

pak::pkg_install("tibble")

pak::pkg_install("tidyverse/tibble")

pak::pkg_deps_tree("tibble")

pak::pkg_deps_explain("tibble","rlang")

pak::local_install("cli")

Start atGet Started withpak to solvespecific issues.

Check out thelist of frequently askedquestions.

The complete reference of pakfunctions is the most completesource of information about pak.

Don’t hesitate to ask at theRStudio Communityforum. Use thepak tag.

Head to thepak issue tracker.

⚡ Fast - parallel downloads and installation, caching, etc.

🦺 Safe - dependency solver, system dependency solver, etc.

🏪 Convenient - packages from multiple sources, timetravel, etc.

See thecomplete list of awesomefeatures.

Install a binary build of pak from our repository on GitHub:

install.packages("pak",repos= sprintf("https://r-lib.github.io/p/pak/stable/%s/%s/%s",.Platform$pkgType, R.Version()$os, R.Version()$arch))

This is supported for the following systems:

For macOS we only support the official CRAN R build. Other builds, e.g.Homebrew R, are not supported.

Install the released version of the package from CRAN as usual:

install.packages("pak")

This potentially needs a C compiler on platforms CRAN does not havebinaries packages for.

See theinstallationpage!

GPL-3 © RStudio