Implementation of the structural model for variances in order to
        detect differentially expressed genes from gene expression data.

Mosaic diagram, scatterplot matrix, Andrews curves, parallel coordinate diagram, radar diagram, 
   and Chernoff plots as a Shiny app, which allow the order of variables to be changed interactively. 
   The apps are intended as teaching examples.

Simple implementation of Semantic Versioning 2.0.0 ('SemVer') on the
    'vctrs' package.  This package provides a simple way to create,
    compare, and manipulate semantic versions in R. It is designed to be
    lightweight and easy to use.

Build and manipulate probability distributions of the skew-normal 
  family and some related ones, notably the skew-t and the SUN families. 
  For the skew-normal and the skew-t distributions, statistical methods are 
  provided for data fitting and model diagnostics, in the univariate and the 
  multivariate case.

A range of tools for social network analysis, including node and graph-level indices, structural distance and covariance methods, structural equivalence detection, network regression, random graph generation, and 2D/3D network visualization.

'RStudio' addin which provides a GUI to visualize and analyse networks. 
    After finishing a session, the code to produce the plot is inserted in the current script.
    Alternatively, the function SNAhelperGadget() can be used directly from the console.
    Additional addins include the Netreader() for reading network files, Netbuilder() to create
    small networks via point and click, and the Componentlayouter() to layout networks with many components manually.

Implements snake in R as a programming example, see <https://en.wikipedia.org/wiki/Snake_(video_game_genre)>.

A consistent, flexible and easy to use tool to parse and convert strings into cases like snake or camel among others.

Visualize long timelines, extended sequences and temporally
    chained survey responses and experience sampling data using intuitive
    serpentine (snake) plots. Supports distribution bars,
    tick-mark plots, inter-item correlation arcs, faceted multi-construct
    panels, and daily time-of-day positioning for ecological momentary
    assessment data.