All about installing pak.Source:
Read this if the default installation methods do not work for you or if you want the release candidate or development version.
Our pre-built binaries have the advantage that they are completely self-containted and dependency free. No additional R packages, system libraries or tools (e.g. compilers) are needed for them. Install a pre-built 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()$arch ))
This is supported for the following systems:
|Linux||x86_64||R 3.4.0 - R-devel|
|Linux||aarch64||R 3.4.0 - R-devel|
|macOS High Sierra+||x86_64||R 3.4.0 - R-devel|
|macOS Big Sur+||aarch64||R 4.1.0 - R-devel|
|Windows||x86_64||R 3.4.0 - R-devel|
For macOS we only support the official CRAN R build. Other builds, e.g. Homebrew R, are not supported.
We only support R builds that have an R shared library. CRAN's Windows and macOS installers are such, so the the R builds in the common Linux distributions. But this might be an issue if you build R yourself without the
Install the released version of the package from CRAN as usual:
This potentially needs a C compiler on platforms CRAN does not have binaries packages for.
We have nightly binary builds, for the same systems as the table above:
install.packages("pak", repos = sprintf( "https://r-lib.github.io/p/pak/devel/%s/%s/%s", .Platform$pkgType, R.Version()$os, R.Version()$arch ))
We have three types of binaries available:
stablecorresponds to the latest CRAN release of CRAN.
rcis a release candidate build, and it is available about 1-2 weeks before a release. Otherwise it is the same as the
develhas builds from the development tree. Before release it might be the same as the
The streams are available under different repository URLs: