An interactive dataset viewer that renders a fast, scrollable
    grid with a column-selection panel, per-column property metadata, and
    a names-versus-labels header toggle, modelled on the 'SAS Studio' table
    viewer. Runs from one codebase in interactive 'Shiny' apps and in static
    HTML documents, with a free-text row filter, header sort, and CSV
    export, and handles large datasets without row sampling by querying
    them in the browser with 'DuckDB-WASM'.

A collection of methods for quantifying the similarity of two or more datasets, many of which can be used for two- or k-sample testing. It provides newly implemented methods as well as wrapper functions for existing methods that enable calling many different methods in a unified framework. The methods were selected from the review and comparison of Stolte et al. (2024) <doi:10.1214/24-SS149>. An empirical comparison of the methods was performed in Stolte et al. (2026) <doi:10.48550/arXiv.2604.11458> for categorical data and in Stolte et al. (2026) <doi:10.48550/arXiv.2604.12327> for numeric data.

Provides a convenient API interface to access immunological data
    within 'the CAVD DataSpace'(<https://dataspace.cavd.org>), a data sharing 
    and discovery tool that facilitates exploration of HIV immunological data 
    from pre-clinical and clinical HIV vaccine studies.

The goal of 'dataspice' is to make it easier for researchers to
  create basic, lightweight, and concise metadata files for their datasets.
  These basic files can then be used to make useful information available during
  analysis, create a helpful dataset "README" webpage, and produce more complex
  metadata formats to aid dataset discovery. Metadata fields are based on
  the 'Schema.org' and 'Ecological Metadata Language' standards.

Data are essential in statistical analysis.
    This data package consists of four datasets for descriptive statistics, two datasets for statistical hypothesis testing, and two datasets for regression analysis.
    All of the datasets are based on Rattanalertnusorn, A. (2024) <https://www.researchgate.net/publication/371944275_porkaermxarlaeakarprayuktchingan_R_and_its_applications>.