A base dependency solution with basic argument parsing for use with
    'Rscript'.

Tools for the analysis of high-dimensional data developed/implemented
  at the group "Statistical Complexity Reduction In Molecular Epidemiology" (SCRIME).
  Main focus is on SNP data. But most of the functions can also be applied to other
  types of categorical data.

Identifies the name of the current script
    in a variety of contexts, e.g. interactively or 
    when sourced.  Attempts to support RStudio environment.
    Based on <https://stackoverflow.com/a/32016824/2292993>
    and <https://stackoverflow.com/a/35842176/2292993>.

Run complex native scripts with a single command, similar to system commands.

Provides functions to retrieve the location of R scripts loaded through the source() function or run from the command line using the Rscript command. This functionality is analogous to the Bash shell's ${BASH_SOURCE[0]}. Users can first set the project root's path relative to the script path and then all subsequent paths relative to the root. This system ensures that all paths lead to the same location regardless of where any script is executed/loaded from without resorting to the use of setwd() at the top of the scripts.

Displays the content of a R script into the 'Cytoscape' network-visualization app <https://cytoscape.org/>.

A small set of functions wrapping up the call stack and command
  line inspection needed to determine a running script's filename from
  within the script itself.

Full text, in data frames containing one row per verse, of the 
    Standard Works of The Church of Jesus Christ of Latter-day Saints (LDS). 
    These are the Old Testament, (KJV), the New Testament (KJV), the Book of 
    Mormon, the Doctrine and Covenants, and the Pearl of Great Price.

A coalescent simulator that allows the rapid simulation of
    biological sequences under neutral models of evolution, see
    Staab et al. (2015) <doi:10.1093/bioinformatics/btu861>.
    Different to other coalescent based simulations,
    it has an optional approximation parameter that
    allows for high accuracy while maintaining a linear run time cost for long
    sequences. It is optimized for simulating massive data sets as produced by Next-
    Generation Sequencing technologies for up to several thousand sequences.