Provides stat_isotonic() to add weighted univariate isotonic regression curves.

A 'ggplot2'-based toolkit for visualizing individual-level
    longitudinal trajectories. Creates linear kodom plots, circular kodom
    plots, heatmaps, and state-ribbon charts for repeated-measures data.
    Each subject gets its own visual lane with measurements colored by
    value, revealing patterns across subjects and time. The circular
    variant resembles the Kodom flower.

A unified algorithm, blockwise-majorization-descent (BMD), for efficiently computing the solution paths of the group-lasso penalized least squares, logistic regression, Huberized SVM and squared SVM. The package is an implementation of Yang, Y. and Zou, H. (2015) <doi:10.1007/s11222-014-9498-5>.

Provides multiple palettes based on pride flags with tailored themes.

Visualise overlapping time series lines as a heatmap of line
    density. Provides a 'ggplot2' statistic implementing the DenseLines
    algorithm, which "normalizes time series by the arc length to compute
    accurate densities"
    (Moritz and Fisher, 2018) <doi:10.48550/arXiv.1808.06019>.

Allows for easy creation of diagnostic plots for a variety of model objects using the Grammar of Graphics.  
  Provides functionality for both individual diagnostic plots and an array of four standard diagnostic plots.

Provides a way to log 'ggplot' component calls, which can be
    useful for debugging and understanding how 'ggplot' objects are created.
    The logged calls can be printed, saved, and re-executed to reproduce the
    original 'ggplot' object.

Provides statistical transformations for plotting empirical 
    ordinary Lorenz curve (Lorenz 1905) <doi:10.2307/2276207> and 
    generalized Lorenz curve (Shorrocks 1983) <doi:10.2307/2554117>.

Plot glycans following the Symbol Nomenclature for Glycans (SNFG) 
    using 'ggplot2'. SNFG provides a standardized visual representation of 
    glycan structures.

Create network-style visualizations of pairwise relationships
    using custom edge glyphs built on top of 'ggplot2'. The package
    supports both statistical and non-statistical data and allows users to
    represent directed relationships. This enables clear,
    publication-ready graphics for exploring and communicating relational
    structures in a wide range of domains. The method was first used in
    Abu-Akel et al. (2021) <doi:10.1371/journal.pone.0245100>. Code is
    released under the MIT License; included datasets are licensed under
    the Creative Commons Attribution 4.0 International (CC BY 4.0).