Important: this release uses Xcode 12.4 and GNU Fortran 8.2.

For native Apple silicon arm64 binary see above.

This release supports Intel Macs, but it is also known to work using Rosetta2 on M1-based Macs. Always re-install XQuartz when upgrading your macOS to a new major version. Note: the use of X11 (including tcltk) requires XQuartz to be installed (version 2.7.11 or later) since it is no longer part of macOS. The latter two components are optional and can be ommitted when choosing 'custom install', they are only needed if you want to use the tcltk R package or build package documentation from sources. R 4.2.3 binary for macOS 10.13 ( High Sierra) and higher, Intel 64-bit (older Macs) build, signed and notarized package.Ĭontains R 4.2.3 framework, R.app GUI 1.79 in 64-bit for Intel Macs, Tcl/Tk 8.6.6 X11 libraries and Texinfo 6.7. Any external libraries and tools are expected to live in /opt/R/arm64 to not conflict with Intel-based software and this build will not use /usr/local to avoid such conflicts (see the tools page for more details). If you wish to compile R packages which contain Fortran code, you may need to download GNU Fortran for arm64 from. This release uses Xcode 13.1 and experimental GNU Fortran 12 arm64 fork. Note: the use of X11 (including tcltk) requires XQuartz (version 2.8.1 or later). MacOS Ventura users: there is a known bug in Ventura, if the installation fails, move the downloaded file away from the Downloads folder (e.g., to your home or Desktop) Important: this version does NOT work on older Intel-based Macs - see below for Intel version. R 4.2.3 binary for macOS 11 ( Big Sur) and higher, Apple silicon arm64 build, signed and notarized package.Ĭontains R 4.2.3 framework, R.app GUI 1.79 for Apple silicon Macs (M1 and higher), Tcl/Tk 8.6.12 X11 libraries and Texinfo 6.8. Latest release: R-4.2.3-arm64.pkg (notarized and signed) If Apple tools are not avaiable you can check the SHA1 checksum of the downloaded image: Please check the integrity of the downloaded package by checking the signature: Package binaries for R versions older than 3.2.0 are only available from the CRAN archive so users of such versions should adjust the CRAN mirror setting ( ) accordingly. Note: Although we take precautions when assembling binaries, please use the normal precautions with downloaded executables. Releases for old Mac OS X systems (through Mac OS X 10.5) and PowerPC Macs can be found in the old directory. This directory contains binaries for a base distribution and packages to run on macOS.

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