Reproducible development environment in R containing CASTER, Gradient Forest Bootstrapping, and all supporting R packages and system libraries

Making computational analyses reproducible is challenging, as both hardware and software are constantly being updated. Newer versions of hardware or software may produce different results, making the research hard to validate or build on. While hardware changes are difficult to control for, software changes are controllable, but are often very difficult to configure in a normal academic setup. The investigator may not be able to change the operating system, and may not be able to install the software versions used in the original investigation. Administrators, concerned about proliferating versions of software on a system, may refuse to install specific versions. The nix package manager can be used by an unprivileged user to create a software stack that controls software and dependencies. This dataset provides code instructing the nix package manager to create an R environment that matches the environment used during the analyse of the project "Novel methods for developing large-scale, data-driven, biologically informed bioregionalisations" License: GNU General Public License V3