The 'SciViews' 'svGUI' package eases the management of Graphical
  User Interfaces (GUI) in R. It is independent from any particular GUI widgets
  ('Tk', 'Gtk2', native, ...). It centralizes info about GUI elements currently
  used, and it dispatches GUI calls to the particular toolkits in use in
  function of the context (is R run at the terminal, within a 'Tk' application,
  a HTML page?).

Creates 3D animated, interactive visualizations that can be viewed in a web browser.

A simple HTTP server allows to connect GUI clients to R.

Function for the GUI API to interact with external IDE/code editors.

Provides functionality to fit and simulate from stationary vine 
  copula models for time series, see Nagler et al. (2022) 
  <doi:10.1016/j.jeconom.2021.11.015>.

R-side code to implement an R editor and IDE in Komodo IDE
  with the SciViews-K extension.

Miscellaneous functions for 'SciViews' or general use: manage a
  temporary environment attached to the search path for temporary variables you
  do not want to save() or load(), test if 'Aqua', 'Mac', 'Win', ... Show
  progress bar, etc.

Computes the entire regularization path for the two-class svm classifier
		with essentially the same cost as a single SVM fit.

Determines networks of significant synchronization between the discrete states of nodes; see Tumminello et al <doi:10.1371/journal.pone.0017994>.

Two versions of sample variance plots, Sv-plot1 and Sv-plot2, will be provided illustrating 
             the squared deviations from sample variance. Besides indicating the contribution of squared 
             deviations for the sample variability, these plots are capable of detecting characteristics of the
             distribution such as symmetry, skewness and outliers. A remarkable graphical method based on 
             Sv-plot2 can determine the decision on testing hypotheses over one or two population means. 
             In sum, Sv-plots will be appealing visualization tools. Complete description of this methodology  
             can be found in the article, Wijesuriya (2020) <doi:10.1080/03610918.2020.1851716>.