Launch a 'shiny' application for 'tidymodels' results. For
    classification or regression models, the app can be used to determine
    if there is lack of fit or poorly predicted points.

A 'Shiny' app including the 'Monaco' editor. The 'Monaco' editor is the code editor which powers 'VS Code'. It is particularly well developed for 'JavaScript'. In addition to the 'Monaco' editor features, the app provides prettifiers and minifiers for multiple languages, 'SCSS' and 'TypeScript' compilers, code checking for 'C' and 'C++' (requires 'cppcheck').

Dual interfaces, graphical and programmatic, designed for
    intuitive applications of Multilevel Regression and Poststratification (MRP).
    Users can apply the method to a variety of datasets, from electronic health records
    to sample survey data, through an end-to-end Bayesian data analysis workflow.
    The package provides robust tools for data cleaning, exploratory analysis,
    flexible model building, and insightful result visualization. For more details, see
    Si et al. (2020) <https://www150.statcan.gc.ca/n1/en/pub/12-001-x/2020002/article/00003-eng.pdf?st=iF1_Fbrh>
    and Si (2025) <doi:10.1214/24-STS932>.

A set of user interface components to create outstanding 'shiny' apps <https://shiny.posit.co/>,  with
    the power of 'React' 'JavaScript' <https://react.dev/>. Seamlessly support dark and light themes, customize CSS with
    'tailwind' <https://tailwindcss.com/>.

The computer program is an efficient igneous norm algorithm and rock classification system written in R but run as shiny app.

An enterprise-targeted scalable and customizable 'shiny' module providing an easy way to incorporate free-form note taking or discussion boards into applications.
    The package includes a 'shiny' module that can be included in any 'shiny' application to create a panel containing searchable, editable text broken down by section headers.
    Can be used with a local 'SQLite' database, or a compatible remote database of choice.