Themes for use with Shiny. Includes several Bootstrap themes
    from <https://bootswatch.com/>, which are packaged for use with Shiny
    applications.

Provides a time input widget for Shiny. This widget allows intuitive time input in the
    '[hh]:[mm]:[ss]' or '[hh]:[mm]' (24H) format by using a separate numeric input for each time
    component. The interface with R uses date-time objects. See the project page for more
    information and examples.

Enables the ability to change or flash the title of the browser window during a 'shiny' session.

This is a wrapper of the 'React' library 'React-Toastify'. It allows to show some notifications (toasts) in 'Shiny' applications. There are options for the style, the position, the transition effect, and more.

Browser notifications in 'Shiny' apps, using
    'toastr': <https://github.com/CodeSeven/toastr#readme>.

Exposes bindings to jsTree -- a JavaScript library
    that supports interactive trees -- to enable a rich, editable trees in
    Shiny.

Improves the user experience of Shiny apps by helping to
    provide feedback when required inputs are missing, or input values
    are not valid.

Collection of custom input controls and user interface components for 'Shiny' applications. 
  Give your applications a unique and colorful style !

Provides an XY pad input for the 'Shiny' framework. An XY pad is like a bivariate slider. It allows to pick up a pair of numbers.

A collection of functions for data manipulation, plotting and statistical computing,
 to use separately or with the book "Visual Statistics. Use R!":
 Shipunov (2020) <http://ashipunov.info/shipunov/software/r/r-en.htm>.
 Dr Alexey Shipunov died in December 2022.
 Most useful functions:
 Bclust(), Jclust() and BootA() which bootstrap hierarchical clustering;
 Recode() which does multiple recoding in a fast, simple and flexible way;
 Misclass() which outputs confusion matrix even if classes are not concerted;
 Overlap() which measures group separation on any projection;
 Biarrows() which converts any scatterplot into biplot;
 and Pleiad() which is fast and flexible correlogram.