RegLog system provides a set of shiny modules to handle register
   procedure for your users, alongside with login, edit credentials and
   password reset functionality. 
   It provides support for popular SQL databases
   and optionally googlesheet-based database for easy setup. For email sending
   it provides support for 'emayili' and 'gmailr' backends. Architecture makes 
   customizing usability pretty straightforward.
   The authentication system created 
   with shiny.reglog is designed to be optional: user don't need to be logged-in 
   to access your application, but when logged-in the user data can be used 
   to read from and write to relational databases.

Shiny wrappers for the RGL package. This package exposes RGL's
    ability to export WebGL visualization in a shiny-friendly format.

It is a simple router for your Shiny apps.
    The router allows you to create dynamic web applications with real-time
    User Interface and easily share url to pages within your Shiny apps.

A 'shiny' interface for a simpler use of the 'sbm' R package.
    It also contains useful functions to easily explore the 'sbm' package
    results.  With this package you should be able to use the stochastic
    block model without any knowledge in R, get automatic reports and nice
    visuals, as well as learning the basic functions of 'sbm'.

Create a skeleton 'shiny' application with create_template() that is
    reproducible, can be saved and meets academic standards for attribution.
    Forked from 'wallace'. Code is split into modules that are loaded and linked
    together automatically and each call one function. Guidance pages explain
    modules to users and flexible logging informs them of any errors. Options
    enable asynchronous operations, viewing of source code, interactive maps and
    data tables. Use to create complex analytical applications, following best
    practices in open science and software development. Includes functions for
    automating repetitive development tasks and an example application at
    run_shinyscholar() that requires
    install.packages("shinyscholar", dependencies = TRUE). A guide to developing
    applications can be found on the package website.