As an advanced approach to computerized adaptive testing (CAT), 
  shadow testing (van der Linden(2005) <doi:10.1007/0-387-29054-0>) dynamically 
  assembles entire shadow tests as a part of 
  selecting items throughout the testing process.
  Selecting items from shadow tests guarantees the compliance of all content 
  constraints defined by the blueprint. 'RSCAT' is an R package for the 
  shadow-test approach to CAT. The objective of 
  'RSCAT' is twofold: 1) Enhancing the effectiveness of shadow-test CAT simulation;
  2) Contributing to the academic and scientific community for CAT research.
  RSCAT is currently designed for dichotomous items based on the three-parameter logistic (3PL) model.

Evaluates R source codes by variable and/or functions names. Similar source codes should deliver similarity coefficients near one. Since neither the frequency nor the order of the used names is considered, a manual inspection of the R source code is required to check for similarity. Possible use cases include detection of code clones for improving
    software quality and of plagiarism amongst students' assignments.

Scelestial infers a lineage tree from single-cell DNA mutation matrix. 
	It generates a tree with approximately maximum parsimony through 
	a Steiner tree approximation algorithm.

Client for Rserve, allowing to connect to Rserve instances and issue commands.

Provides a tool for mass deployment of shiny apps to 'RStudio Connect' or 'Shiny Server'. Multiple user accounts and servers can be configured for deployment.

Programmatic deployment interface for 'RPubs',
    'shinyapps.io', and 'Posit Connect'. Supported content types include R
    Markdown documents, Shiny applications, Plumber APIs, plots, and
    static web content.

Provides a generic implementation of the 'RStudio' connection contract to 
    make it easier for database connections, and other type of connections, opened 
    via R packages integrate with the connections pane inside the 'RStudio' interactive
    development environment (IDE).