Leverages the high-performance 'GeoArrow' memory layout to render
    potentially very large 'Deck.gl' data layers on a 'maplibregl'/'mapboxgl' 
    map created with R package 'mapgl'. The heavy lifting is done on the 
    'JavaScript' side in the browser using 'deck.gl-geoarrow' 
    (<https://github.com/geoarrow/deck.gl-geoarrow/>). 
    Currently provides functions for adding Scatterplot (points), Path (lines)
    and Polygon (polygons) layers. Has support for data classes from R packages 
    'wk' and 'sf'. In addition, convenience functions for styling data, tooltips 
    and popups, as well as layer management are provided. 
    Furthermore, remotely hosted 'GeoParquet' and 'GeoArrow' files can be 
    visualised directly in the browser, without the need to first read them 
    into R memory. Only the styling instructions are prepared by the user in R 
    and are then transferred to and applied in the browser as the data arrives.

Adds section-aware roadmap footers to 'Reveal.js' slide decks
    created with 'Quarto' or 'R Markdown'. The footer highlights completed,
    current, and upcoming sections as slides advance. Supports multiple
    visual styles, inherited section tags, roadmap-free slides, and
    configurable colors, size, and positioning options.

A zero dependency package containing functions to declare labels
    and missing values, coupled with associated functions to create (weighted)
    tables of frequencies and various other summary measures. 
    Some of the base functions have been rewritten to make use of the specific 
    information about the missing values, most importantly to distinguish
    between empty NA and declared NA values.
    Some functions have similar functionality with the corresponding ones from
    packages "haven" and "labelled". The aim is to ensure as much compatibility
    as possible with these packages, while offering an alternative in the
    objects of class "declared".

Researchers can characterize and learn about the properties of
    research designs before implementation using `DeclareDesign`. Ex ante
    declaration and diagnosis of designs can help researchers clarify the 
    strengths and limitations of their designs and to improve their 
    properties, and can help readers evaluate a research strategy prior
    to implementation and without access to results. It can also make it
    easier for designs to be shared, replicated, and critiqued.