This is a port of 'Fortran ETERNA 3.4' 
             <http://igets.u-strasbg.fr/soft_and_tool.php> by H.G. Wenzel
             for calculating synthetic Earth tides using the 
             Hartmann and Wenzel (1994) <doi:10.1029/95GL03324> or 
             Kudryavtsev (2004) <doi:10.1007/s00190-003-0361-2> tidal catalogs.

Downloads a satellite image via ESRI and maptiles (these are
    originally from a variety of aerial photography sources), 
    translates the image into a perceptually uniform color space,
    runs one of a few different clustering algorithms on the colors in the image 
    searching for a user-supplied number of colors,
    and returns the resulting color palette.

Provides a 'shiny'-based graphical user interface for the 'earth'
    package, enabling interactive building and exploration of Multivariate
    Adaptive Regression Splines (MARS) models. Features include data import
    from CSV and 'Excel' files, automatic detection of categorical variables,
    interactive control of interaction terms via an allowed matrix,
    comprehensive model diagnostics with variable importance and partial
    dependence plots, and publication-quality report generation via 'Quarto'.

Implementation in a simple and efficient way of fully customisable population genetics simulations,
    considering multiple loci that have epistatic interactions. Specifically suited to the modelling of
    multilocus nucleocytoplasmic systems (with both diploid and haploid loci), it is nevertheless possible
    to simulate purely diploid (or purely haploid) genetic models.
	Examples of models that can be simulated with Ease are numerous, for example models of genetic
	incompatibilities as presented by Marie-Orleach et al. (2022) <doi:10.1101/2022.07.25.501356>.
	Many others are conceivable, although few are actually explored, Ease having been developed
	in particular to provide a solution so that these kinds of models can be simulated simply.

'R' wrapper around the 'Python' library 'EasyNMT', enabling easy-to-use, local, reproducible machine translation. Supports translation between multiple language pairs. The package takes care of preprocessing and language detection using 'fastText' from 'R'. 'Python' backend and installation of 'PyTorch' is handled by 'reticulate' and 'uv'.