Encode network data as strings of printable ASCII characters. Implemented 
    functions include encoding and decoding adjacency matrices, edgelists, igraph, and
    network objects to/from formats 'graph6', 'sparse6', and 'digraph6'. The formats and
    methods are described in McKay, B.D. and Piperno, A (2014)
    <doi:10.1016/j.jsc.2013.09.003>.

Data and Functions from the book R Graphics, Third Edition. There is a function to produce each figure in the book, plus several functions, classes, and methods defined in Chapter 8.

An interface for rendering 'igraph' objects as 'ggplot2' graphics 
    within a normalized coordinate space. 'RGraphSpace' implements new 
    geometries that treat a graph as a single coherent object, synchronizing 
    node and edge layers under standard aesthetic mappings. Node features are 
    resolved on demand, supporting high-dimensional data without expanding 
    node tables. Spatial alignment is available at the pixel level, 
    with node coordinates anchored to pixel centers through a half-pixel 
    offset, enabling precise node positioning over external reference frames 
    such as images and maps.

An interface between the 'GRASS' geographical information system ('GIS') and 'R', based on starting 'R' from within the 'GRASS' 'GIS' environment, or running a free-standing 'R' session in a temporary 'GRASS' location; the package provides facilities for using all 'GRASS' commands from the 'R' command line. The original interface package for 'GRASS 5' (2000-2010) is described in Bivand (2000) <doi:10.1016/S0098-3004(00)00057-1> and Bivand (2001) <https://www.r-project.org/conferences/DSC-2001/Proceedings/Bivand.pdf>. This was succeeded by 'spgrass6' for 'GRASS 6' (2006-2016) and 'rgrass7' for 'GRASS 7' (2015-present). The 'rgrass' package modernizes the interface for 'GRASS 8' while still permitting the use of 'GRASS 7'.

Fully 'DBI'-compliant interface to 'Greenplum' <https://greenplum.org/>,
    an open-source parallel database. This is an extension of the 'RPostgres'
    package <https://github.com/r-dbi/RPostgres>.