Takes a distance matrix and plots it as an 
    interactive graph. One point is focused at the center of the graph,
    around which all other points are plotted in their exact distances as
    given in the distance matrix. All other non-focus points are plotted 
    as best as possible in relation to one another. Double click on any 
    point to choose a new focus point, and hover over points to see their
    ID labels. If color label categories are given, hover over colors in 
    the legend to highlight only those points and click on colors to 
    highlight multiple groups. For more information on the rationale 
    and mathematical background, as well as an interactive introduction,
    see <https://lea-urpa.github.io/focusedMDS.html>.

The CRAN check results and where your package stands in the
    CRAN submission queue in your R terminal.

A novel forward stepwise discriminant analysis framework 
    that integrates Pillai's trace with Uncorrelated Linear Discriminant Analysis (ULDA), 
    providing an improvement over traditional stepwise LDA methods that rely on Wilks' Lambda. 
    A stand-alone ULDA implementation is also provided, offering a more general solution 
    than the one available in the 'MASS' package. It automatically handles missing values and 
    provides visualization tools. For more details, see Wang (2024) <doi:10.48550/arXiv.2409.03136>.

Supports the use of standardized folder names.

Datasets for teaching quantitative approaches and modeling in
    archaeology and paleontology. This package provides several types of
    data related to broad topics (cultural evolution, radiocarbon dating,
    paleoenvironments, etc.), which can be used to illustrate statistical
    methods in the classroom (multivariate data analysis, compositional
    data analysis, diversity measurement, etc.).

Extend 'shiny.semantic' with extra 'Fomantic UI' components.
    Create pages in a format similar to 'shiny', form validation and more.

Easily and flexibly insert 'Font Awesome' icons into 'R Markdown'
    documents and 'Shiny' apps. These icons can be inserted into HTML content
    through inline 'SVG' tags or 'i' tags. There is also a utility function for
    exporting 'Font Awesome' icons as 'PNG' images for those situations where
    raster graphics are needed.