pak
Another Approach to Package Installation
The goal of 'pak' is to make package installation faster and more reliable. In particular, it performs all HTTP operations in parallel, so metadata resolution and package downloads are fast. Metadata and package files are cached on the local disk as well. 'pak' has a dependency solver, so it finds version conflicts before performing the installation. This version of 'pak' supports CRAN, 'Bioconductor' and 'GitHub' packages as well.
pak
A Fresh Approach to R Package Installation
pak installs R packages from CRAN, Bioconductor, GitHub, URLs, git
repositories, local files and directories. It is an alternative to
install.packages() and devtools::install_github(). pak is fast, safe and
convenient.
- :rocket: Short tour
- :link: Quick links (start here if in doubt!)
- :sparkles: Features
- :arrow_down: Installation
- :blue_book: License
:rocket: Short tour
Install or update packages from CRAN or Bioconductor
pak::pkg_install("tibble")
Install packages from GitHub
pak::pkg_install("tidyverse/tibble")
Look up dependencies
pak::pkg_deps_tree("tibble")
Explain dependencies
pak::pkg_deps_explain("tibble", "rlang")
Install a local package and its dependencies
pak::local_install("cli")
:link: Quick links (start here if in doubt!)
How do I … ?
Start at Get Started with pak to solve specific issues.
FAQ
Check out the list of frequently asked questions.
Reference
The complete reference of pak functions is the most complete source of information about pak.
I have a(nother) question
Don’t hesitate to ask at the RStudio Community
forum. Use the pak tag.
I would like to report a bug
Head to the pak issue tracker.
:sparkles: Features
:zap: Fast - parallel downloads and installation, caching, etc.
:safety_vest: Safe - dependency solver, system dependency solver, etc.
:convenience_store: Convenient - packages from multiple sources, time travel, etc.
See the complete list of awesome features.
:arrow_down: Installation
Pre-built binaries
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:
| OS | CPU | R version |
|---|---|---|
| Linux | x86_64 | R 3.5.0 - R-devel |
| Linux | aarch64 | R 3.5.0 - R-devel |
| macOS High Sierra+ | x86_64 | R 3.5.0 - R-devel |
| macOS Big Sur+ | aarch64 | R 4.1.0 - R-devel |
| Windows | x86_64 | R 3.5.0 - R-devel |
For macOS we only support the official CRAN R build. Other builds, e.g. Homebrew R, are not supported.
Install from CRAN
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 have binaries packages for.
Other platforms and nightly builds
See the installation page!
:blue_book: License
GPL-3 © RStudio