Provides a combined slider and numeric input for usage in a 'Shiny' app. The slider and the numeric input are linked together: each one is updated when the other one changes. Many styling properties are customizable (e.g. colors and size).

Makes the 'React' library 'Chakra UI' usable in 'Shiny' apps. 'Chakra UI' components include alert dialogs, drawers (sliding panels), menus, modals, popovers, sliders, and more.

Provides an easy-to-use module for adding a chat to a Shiny app. Allows
    users to send messages and view messages from other users. 
    Messages can be stored in a database or a .rds file.

You can easily add advanced cohort-building component
    to your analytical dashboard or simple 'Shiny' app.
    Then you can instantly start building cohorts using multiple
    filters of different types, filtering datasets, and filtering steps.
    Filters can be complex and data-specific, and together
    with multiple filtering steps you can use complex filtering rules.
    The cohort-building sidebar panel allows you to easily
    work with filters, add and remove filtering steps.
    It helps you with handling missing values during filtering,
    and provides instant filtering feedback with filter feedback plots.
    The GUI panel is not only compatible with native shiny
    bookmarking, but also provides reproducible R code.

Takes one or more fitted Cox proportional hazards models and writes
    a 'shiny' application to a directory specified by the user. The 'shiny' 
    application displays predicted survival curves based on user input, and 
    contains none of the original data used to create the Cox model or models. 
    The goal is towards visualization and presentation of predicted survival
    curves.

When a 'Shiny' output (such as a plot, table, map, etc.) is recalculating, it remains 
    visible but gets greyed out. Using 'shinycssloaders', you can add a loading animation ("spinner")
    to outputs instead. By wrapping a 'Shiny' output in 'withSpinner()', a spinner will automatically
    appear while the output is recalculating. See the demo online at
    <https://daattali.com/shiny/shinycssloaders-demo/>.