A wrapper on top of the 'Domino Command-Line Client'. It lets you
    run 'Domino' commands (e.g., "run", "upload", "download") directly from your
    R environment. Under the hood, it uses R's system function to run the 'Domino'
    executable, which must be installed as a prerequisite. 'Domino' is a service
    that makes it easy to run your code on scalable hardware, with integrated
    version control and collaboration features designed for analytical workflows
    (see <http://www.dominodatalab.com> for more information).

A wrapper on top of the 'Domino Data Python SDK' library. It lets 
    you query and access 'Domino Data Sources' directly from your R environment.
    Under the hood, 'Domino Data R SDK' leverages the API provided by the 
    'Domino Data Python SDK', which must be installed as a prerequisite.
    'Domino' is a platform that makes it easy to run your code on scalable 
    hardware, with integrated version control and collaboration features 
    designed for analytical workflows. See 
    <https://docs.dominodatalab.com/en/latest/api_guide/140b48/domino-data-api>
    for more information.

Methods to apply decomposition-based relative importance 
  analysis for R functions. This package supports the application of 
  decomposition methods by providing 'lapply'- or 'Map'-like meta-functions that 
  compute dominance analysis (Azen, R., & Budescu, D. V. (2003) 
  <doi:10.1037/1082-989X.8.2.129>; Grömping, U. (2007) 
  <doi:10.1198/000313007X188252>) an extension of Shapley value regression 
  (Lipovetsky, S., & Conklin, M. (2001) <doi:10.1002/asmb.446>)
  based on the values returned from other functions.

Provides a parallel backend for the %dopar% function using
        the Rmpi package.

Finds the k nearest neighbours in a dataset of specified points, 
  adding the option to wrap certain variables on a torus.  The user chooses
  the algorithm to use to find the nearest neighbours. Two such algorithms,
  provided by the packages 'RANN' <https://cran.r-project.org/package=RANN>, 
  and 'nabor' <https://cran.r-project.org/package=nabor>, are suggested.