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.
pak::pkg_install("tibble")#> ✔ Loading metadata database ... done #> #> → Will install 11 packages. #> → All 11 packages (7.48 MB) are cached. #> + cli 3.4.1 #> + fansi 1.0.3 #> + glue 1.6.2 #> + lifecycle 1.0.3 #> + magrittr 2.0.3 #> + pillar 1.8.1 #> + pkgconfig 2.0.3 #> + rlang 1.0.6 #> + tibble 3.1.8 #> + utf8 1.2.2 #> + vctrs 0.5.1 #> ℹ No downloads are needed, 11 pkgs (7.48 MB) are cached #> ✔ Installed cli 3.4.1 (68ms) #> ✔ Installed fansi 1.0.3 (78ms) #> ✔ Installed glue 1.6.2 (95ms) #> ✔ Installed lifecycle 1.0.3 (120ms) #> ✔ Installed magrittr 2.0.3 (126ms) #> ✔ Installed pkgconfig 2.0.3 (125ms) #> ✔ Installed pillar 1.8.1 (154ms) #> ✔ Installed rlang 1.0.6 (176ms) #> ✔ Installed tibble 3.1.8 (77ms) #> ✔ Installed utf8 1.2.2 (44ms) #> ✔ Installed vctrs 0.5.1 (35ms) #> ✔ 1 pkg + 10 deps: added 11 [2.8s]
pak::pkg_install("tidyverse/tibble")#> #> → Will update 2 packages. #> → All 2 packages (0 B) are cached. #> + tibble 3.1.8 → 3.1.8.9002 👷🏾🔧 (GitHub: 37ec86a) #> + vctrs 0.5.1 → 0.5.1.9000 👷🏼♂️🔧 (GitHub: 48794fd) #> ℹ No downloads are needed, 2 pkgs are cached #> ℹ Packaging vctrs 0.5.1.9000 #> ✔ Packaged vctrs 0.5.1.9000 (1.5s) #> ℹ Building vctrs 0.5.1.9000 #> ✔ Built vctrs 0.5.1.9000 (11s) #> ✔ Installed vctrs 0.5.1.9000 (github::r-lib/vctrs@48794fd) (36ms) #> ℹ Packaging tibble 3.1.8.9002 #> ✔ Packaged tibble 3.1.8.9002 (525ms) #> ℹ Building tibble 3.1.8.9002 #> ✔ Built tibble 3.1.8.9002 (3.1s) #> ✔ Installed tibble 3.1.8.9002 (github::tidyverse/tibble@37ec86a) (34ms) #> ✔ 1 pkg + 10 deps: kept 9, upd 2 [18.9s]
pak::pkg_deps_tree("tibble")#> tibble 3.1.8 ✨ #> ├─fansi 1.0.3 ✨ #> ├─lifecycle 1.0.3 ✨ #> │ ├─cli 3.4.1 ✨ #> │ ├─glue 1.6.2 ✨ #> │ └─rlang 1.0.6 ✨ #> ├─magrittr 2.0.3 ✨ #> ├─pillar 1.8.1 ✨ #> │ ├─cli #> │ ├─fansi #> │ ├─glue #> │ ├─lifecycle #> │ ├─rlang #> │ ├─utf8 1.2.2 ✨ #> │ └─vctrs 0.5.1 ✨ #> │ ├─cli #> │ ├─glue #> │ ├─lifecycle #> │ └─rlang #> ├─pkgconfig 2.0.3 ✨ #> ├─rlang #> └─vctrs #> #> Key: ✨ new
pak::pkg_deps_explain("tibble", "rlang")#> tibble -> lifecycle -> rlang #> tibble -> pillar -> lifecycle -> rlang #> tibble -> pillar -> rlang #> tibble -> pillar -> vctrs -> lifecycle -> rlang #> tibble -> pillar -> vctrs -> rlang #> tibble -> rlang #> tibble -> vctrs -> lifecycle -> rlang #> tibble -> vctrs -> rlang
pak::local_install("cli")#> #> → Will update 1 package. #> → The package (0 B) is cached. #> + cli 3.4.1 → 3.4.1 👷🏿🔧 #> ℹ No downloads are needed, 1 pkg is cached #> ✔ Got cli 3.4.1 (source) (96 B) #> ℹ Packaging cli 3.4.1 #> ✔ Packaged cli 3.4.1 (664ms) #> ℹ Building cli 3.4.1 #> ✔ Built cli 3.4.1 (5s) #> ✔ Installed cli 3.4.1 (local) (42ms) #> ✔ 1 pkg: upd 1, dld 1 (NA B) [6.4s]
Start at Get Started with pak to solve specific issues.
Check out the list of frequently asked questions.
The complete reference of pak functions is the most complete source of information about pak.
Don’t hesitate to ask at the RStudio Community forum. Use the
pak tag.
Head to the pak issue tracker.
: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.
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 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.
See the installation page!
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