Provides an 'R' interface for downloading and standardizing
    election data to support research workflows. Election results are
    published by states through heterogeneous and often dynamic web
    interfaces that are not consistently accessible through existing
    'R' packages or APIs. To address this, the package wraps state-specific
    'Python' web scrapers through the 'reticulate' package, enabling access
    to dynamic content while exposing consistent 'R' functions for querying
    election availability and results across jurisdictions. The package is intended
    for responsible use and relies on publicly accessible election result pages.

Syntax highlighting of R code, specifically designed for the
    needs of 'RMarkdown' packages like 'pkgdown', 'hugodown', and
    'bookdown'. It includes linking of function calls to their
    documentation on the web, and automatic translation of ANSI escapes in
    output to the equivalent HTML.

Provides a wrapper for the download.file function,
    making it possible to download files over HTTPS on Windows, Mac OS X, and
    other Unix-like platforms. The 'RCurl' package provides this functionality
    (and much more) but can be difficult to install because it must be compiled
    with external dependencies. This package has no external dependencies, so
    it is much easier to install.

Implement download buttons in HTML output from 'rmarkdown' without the need for 'runtime:shiny'.

Uses species occupancy at coarse grain sizes to predict species occupancy at fine grain sizes. Ten models are provided to fit and extrapolate the occupancy-area relationship, as well as methods for preparing atlas data for modelling. See Marsh et. al. (2018) <doi:10.18637/jss.v086.c03>.

Toggles the test and production versions of a large
  data analysis project.

Provides a set of functions for inferring, visualizing, and analyzing B cell phylogenetic trees.
    Provides methods to 1) reconstruct unmutated ancestral sequences,
    2) build B cell phylogenetic trees using multiple methods,
    3) visualize trees with metadata at the tips,
    4) reconstruct intermediate sequences,
    5) detect biased ancestor-descendant relationships among metadata types
    Workflow examples available at documentation site (see URL).
    Citations:
    Hoehn et al (2022) <doi:10.1371/journal.pcbi.1009885>,
    Hoehn et al (2021) <doi:10.1101/2021.01.06.425648>.