Higher Criticism (HC) test between two frequency tables. Test is based on an adaptation of the Tukey-Donoho-Jin HC statistic to testing frequency tables described in Kipnis (2019) <arXiv:1911.01208>.

A tool to create and style HTML tables with CSS. These can
    be exported and used in any application that accepts HTML (e.g. 'shiny',
    'rmarkdown', 'PowerPoint'). It also provides functions to create CSS files
    (which also work with shiny).

Provides two classes extending 'data.table' class. Simple
    'tableList' class wraps 'data.table' and any additional structures together.
    More complex 'tableMatrix' class combines 'data.table' and
    'matrix'. See <http://github.com/InferenceTechnologies/tableMatrix> for more
    information and examples.

Provides a user friendly interface to 
  generation of booktab style tables using 'xtable'.

Creates 'Table 1', i.e., description of baseline patient
    characteristics, which is essential in every medical research.
    Supports both continuous and categorical variables, as well as
    p-values and standardized mean differences. Weighted data are
    supported via the 'survey' package.

Provides functions to build interactive dashboards combining the 'Tabler UI Kit' with 'Shiny', making it
    easy to create professional-looking web applications. 'Tabler' is fully responsive and compatible with all modern
    browsers. Offers customizable layouts and components built with 'HTML5' and 'CSS3'. The underlying 'Tabler'
    (<https://github.com/tabler/tabler>) and 'Tabler Icons' (<https://github.com/tabler/tabler-icons>)
    were pre-built from source to eliminate the need for 'Node.js' and 'NPM' on package installation.

'R' interface to the 'Tabler' HTML template. See more here <https://tabler.io>. 
    'tablerDash' is a light 'Bootstrap 4' dashboard template. There are different 
     layouts available such as a one page dashboard or a multi page template,
     where the navigation menu is contained in the navigation bar.

Computes and displays complex tables of summary statistics.
  Output may be in LaTeX, HTML, plain text, or an R
  matrix for further processing.