Installing pak {pak}

All about installing pak.

Description

Read this if the default installation methods do not work for you or if you want the release candidate or development version.

Pre-built binaries

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:

OS	CPU	R version
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

Notes

• 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 --enable-R-shlib option.

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.

Nightly builds

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
))

stable, rc and devel streams

We have three types of binaries available:

• stable corresponds to the latest CRAN release of CRAN.

• rc is a release candidate build, and it is available about 1-2 weeks before a release. Otherwise it is the same as the stable build.

• devel has builds from the development tree. Before release it might be the same as the rc build.

The streams are available under different repository URLs:

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