The RangeShiftR package source is publicly released on a
github
repository as a beta version (it is not available on CRAN).
For further information please contact us under RangeShiftR@uni-potsdam.de.
RangeShiftR has to be built from source by the user.
This requires the R-version 3.6.0 or higher as
well as a functional C++ toolchain (see below). All other dependencies
are handled automatically during installation.
Install pak if you don’t have them already.
library("pak")## Warning: package 'pak' was built under R version 4.5.2In order to build the package from source, C++ compiler toolchain is required. The exact procedure depends on your operating system.
on Windows: Install the Rtools package from CRAN. Make
sure to install the version that matches your R version.
on Linux: Install the standard R development
packages (e.g. on Ubuntu and Debian:
sudo apt-get install r-base-dev).
on MacOS: Install the Apple Developer Tools
xcode-select --install
Now, if all preparations are done and successful, we can install the
package directly from its public repository on github, using
pak:
pak::pak("RangeShifter/RangeShiftR-pkg/RangeShiftR@main")After successful installation, which can take a few minutes, you can load and use the package:
library(RangeShiftR)## RangeshiftR version 3.0.0 (24.03.2026)
## Copyright (C) 2020-2026 Anne-Kathleen Malchow, Greta Bocedi, Stephen C.F. Palmer, Justin M.J. Travis, Jette Wolff, Damaris Zurell
##
## This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY.
## You are welcome to redistribute it and/or modify it under certain conditions;
## type 'RangeShiftR_license()' for details.If pakis not able to install RangeShiftR one reason
might be that R doesn’t find the C++ compiler due to an
inappropriately set path variable. In this variable your system stores
the paths in which to look for executables like the compiler
(e.g. gcc or clang), in the order in which they appear
in the path variable.
You can try and check if the path to the directory that contains your
compiler is part of the path variable.
For example, on Windows 10: Go to Control panel -> System and
Security -> System -> Advanced system settings -> Environmental
variables.
In the list of system variables, look for ‘Path’. If the correct path is
missing, you can add it manually:
Click ‘edit’ on the ‘Path’ variable -> add the correct variable (The
two standard paths would be ‘C:\Rtools\bin’ and
‘C:\Rtools\mingw_32\bin’; you can also try moving them up on the list so
they get searched first.)
For Linux you might need additional dependencies for required R
packages, e.g. libcurl4-openssl-dev,
libssl-dev or libxml2-dev
If questions or problems remain, please let us know via the github Forum.