Scientific and technical article format for the web.
    'Distill' articles feature attractive, reader-friendly typography,
    flexible layout options for visualizations, and full support for
    footnotes and citations.

Some very simple method functions for confidence interval calculation, bootstrap resampling aimed at atmospheric science applications, and to distill pertinent information from a potentially complex object; primarily used in common with packages extRemes and SpatialVx.  To reference this package and for a tutorial on the bootstrap functions, please see Gilleland (2020) <doi: 10.1175/JTECH-D-20-0069.1> and Gilleland (2020) <doi: 10.1175/JTECH-D-20-0070.1>.

Provides several methods for model distillation and interpretability 
    for general black box machine learning models and treatment effect estimation
    methods. For details on the algorithms implemented, see <https://forestry-labs.github.io/distillML/index.html>
    Brian Cho, Theo F. Saarinen, Jasjeet S. Sekhon, Simon Walter.

Calculates Distinctiveness Centrality in social networks. 
	For formulas and descriptions, see Fronzetti Colladon and Naldi (2020) <doi:10.1371/journal.pone.0233276>.

Provides a high level API to interface over sources storing distance, dissimilarity, similarity matrices with matrix style extraction, replacement and other utilities. Currently, in-memory dist object backend is supported.

It provides the subset operator for dist objects and a function to
    compute medoid(s) that are fully parallelized leveraging the 'RcppParallel'
    package. It also provides functions for package developers to easily
    implement their own parallelized dist() function using a custom 'C++'-based
    distance function.

Geodesic distance between phylogenetic trees and
  associated functions. The theoretical background of 'distory'
  is published in Billera et al. (2001) "Geometry of the space of
  phylogenetic trees." <doi:10.1006/aama.2001.0759>.

Package including an interactive Shiny application for plotting 
    common univariate distributions.