The purpose of this package is to manipulate SVG files that are templates of charts the user wants to produce. 
    In vector graphics one copes with x-/y-coordinates of elements (e.g. lines, rectangles, text). Their scale is often dependent on the program that is used to produce the graphics. 
    In applied statistics one usually has numeric values on a fixed scale (e.g. percentage values between 0 and 100) to show in a chart. 
    Basically, 'svgtools' transforms the statistical values into coordinates and widths/heights of the vector graphics.
    This is done by stackedBar() for bar charts, by linesSymbols() for charts with lines and/or symbols (dot markers) and scatterSymbols() for scatterplots.

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.

In practice, it is difficult to determine the number of decomposition modes, K, for Variational Mode Decomposition (VMD). To overcome this issue, this study offers Spearman Variational Mode Decomposition (SVMD), a method that uses the Spearman correlation coefficient to calculate the ideal mode number. Unlike the Pearson correlation coefficient, which only returns a perfect value when X and Y are linearly connected, the Spearman correlation can be calculated without knowing the probability distributions of X and Y. The Spearman correlation coefficient, also called Spearman's rank correlation coefficient, is a subset of a wider correlation coefficient. As VMD decomposes a signal, the Spearman correlation coefficient between the reconstructed and original sequences rises as the mode number K increases. Once the signal has been fully decomposed, subsequent increases in K cause the correlation to gradually level off. When the correlation reaches a specific level, VMD is said to have adequately decomposed the signal. Numerous experiments revealed that a threshold of 0.997 produces the best denoising effect, so the threshold is set at 0.997. This package has been developed using concept of Yang et al. (2021)<doi:10.1016/j.aej.2021.01.055>.