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>.

Access diverse 'ggplot2'-compatible color palettes for simplified data visualization.

A Scannerless GLR parser/parser generator.  Note that GLR standing for "generalized LR", where L stands for "left-to-right" and
   R stands for "rightmost (derivation)".  For more information see <https://en.wikipedia.org/wiki/GLR_parser>. This parser is based on the Tomita
   (1987) algorithm. (Paper can be found at <https://aclanthology.org/P84-1073.pdf>).
   The original 'dparser' package documentation can be found at <https://dparser.sourceforge.net/>.  This allows you to add mini-languages to R (like
   rxode2's ODE mini-language Wang, Hallow, and James 2015 <DOI:10.1002/psp4.12052>) or to parse other languages like 'NONMEM' to automatically translate
   them to R code.   To use this in your code, add a LinkingTo dparser in your DESCRIPTION file and instead of using #include <dparse.h> use
   #include <dparser.h>.  This also provides a R-based port of the make_dparser <https://dparser.sourceforge.net/d/make_dparser.cat> command called
   mkdparser().  Additionally you can parse an arbitrary grammar within R using the dparse() function, which works on most OSes and is mainly for grammar
   testing.  The fastest parsing, of course, occurs at the C level, and is suggested.