Provides curly braces and square brackets in 'ggplot2' plus matching text.
    stat_brace() plots braces/brackets to embrace data.
    stat_bracetext() plots corresponding text, fitting to the braces from stat_brace().

A 'ggplot2'-consistent approach to generating 2D displays of  volumetric brain imaging data.
  Display data from multiple NIfTI images using standard 'ggplot2' conventions such scales, limits, and
  themes to control the appearance of displays. The resulting plots are returned as 'patchwork' objects,
  inheriting from 'ggplot', allowing for any standard modifications of display aesthetics supported by 'ggplot2'.

An implementation of scale functions for setting axis breaks of a 'gg' plot (S Xu (2021) <doi:10.3389/fgene.2021.774846>).

A new take on the bar chart. Similar to a waffle style chart but
  instead of squares the layout resembles a brick wall.

When comparing discrete data mini bubble plots allow displaying 
   more information than traditional bubble plots via colour, shape or labels. 
   Exact overlapping coordinates will be transformed so they surround the
   original point circularly without overlapping. This is implemented as a 
   position_surround() function for 'ggplot2'.

Saves a 'ggplot' object into multiple files, each with a layer 
    added incrementally. Generally to be used in presentation slides.
    Flexible enough to allow different file types for the final complete plot,
    and intermediate builds.

R provides fantastic tools for changepoint
    analysis, but plots generated by the tools do 
    not have the 'ggplot2' style. This tool, however, 
    combines 'changepoint', 'changepoint.np' and 'ecp'
    together, and uses 'ggplot2' to visualize changepoints.
    It provides a unified 'ggcpt' S3 result class,
    'broom'-style tidy/glance/augment methods, 'autoplot()',
    composable geoms ('geom_changepoint()', 'geom_cpt_segment()',
    'geom_cpt_ci()', 'stat_changepoint()'), a unified
    'cpt_detect()' dispatcher with method introspection via
    'cpt_methods()', wrappers for several optional engines
    (WBS, WBS2, NOT, MOSUM, FPOP, Isolate-Detect, TGUH), a method
    comparison module, accuracy metrics, data simulation, and
    canonical test signals.