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.

Go beyond standard probability distributions such as the Normal
    or Exponential by combining, shifting, maximizing, and otherwise
    transforming distributions with simple, verb-based functions. Provides
    easy access to a broader space of distributions more representative of 
    real-world systems such as river flows or insurance claims. 
    Part of the probaverse framework of packages to support advanced
    statistical modeling and simulations with an intuitive workflow.

S4-classes and methods for distributions.

Provides documentation in form of a common vignette to packages 'distr',
            'distrEx', 'distrMod', 'distrSim', 'distrTEst', 'distrTeach', and 'distrEllipse'.

Distribution (S4-)classes for elliptically contoured distributions (based on
            package 'distr').

Extends package 'distr' by functionals, distances, and conditional distributions.

Calculates expected values, variance, different moments (kth 
    moment, truncated mean), stop-loss, mean excess loss, Value-at-Risk (VaR)
    and Tail Value-at-Risk (TVaR) as well as some density and cumulative 
    (survival) functions of continuous, discrete and compound distributions. 
    This package also includes a visual 'Shiny' component to enable students 
    to visualize distributions and understand the impact of their parameters.
    This package is intended to expand the 'stats' package so as
    to enable students to develop an intuition for probability.