Estimates grid type bivariate copula functions, calculates some association measures and provides several copula graphics.

Functions for drawing scene trees representing 
              scenes that have been drawn using grid graphics.

Tools for exploratory geospatial distribution dynamics with
    'sf' objects and tidy data. Provides pooled and time-specific
    classification of longitudinal spatial values, classic discrete Markov
    transition matrices, spatial Markov matrices conditioned on spatial-lag
    classes, endpoint and adjacent rank mobility summaries, and 'ggplot2'
    visualizations. Methods follow Rey (2001)
    <doi:10.1111/j.1538-4632.2001.tb00444.x> and Rey et al. (2016)
    <doi:10.1007/s10109-016-0234-x>; design is inspired by the Python
    'PySAL' 'giddy' package <https://pysal.org/giddy/>.

Provides a number of user-level functions to work with "grid"
    graphics, notably to arrange multiple grid-based plots on a page, and draw
    tables.

Functions for performing polygon geometry with 'grid' grobs.
             This allows complex shapes to be defined by combining simpler
             shapes.

Functions to convert a page of plots drawn with the 
  'graphics' package into identical output drawn with the 'grid' package.
  The result looks like the original 'graphics'-based plot, but consists
  of 'grid' grobs and viewports that can then be manipulated with 
  'grid' functions (e.g., edit grobs and revisit viewports).

Functions for drawing node-and-edge graphs that have been 
              laid out by 'graphviz'.  This provides an alternative 
              rendering to that provided by the 'Rgraphviz' package, with
              two main advantages:  the rendering provided by 'gridGraphviz'
              should be more similar to what 'graphviz' itself would draw;
              and rendering with 'grid' allows for post-hoc customisations
              using the named viewports and grobs that 'gridGraphviz'
              produces.

A simple and flexible tool designed to create enriched figures and tables by providing a way to add text 
    around them through predefined or custom layouts. 
    Any input which is convertible to 'grob' is supported, like 'ggplot', 'gt' or 'flextable'. 
    Based on R 'grid' graphics, for more details see Paul Murrell (2018) <doi:10.1201/9780429422768>.