A 'ggplot2' extension that enables robust image grobs in
    panels and theme elements.

Provides 'ggplot2' geoms filled with various patterns.  Includes a patterned version of every 'ggplot2' geom that has a region that can be filled with a pattern.  Provides a suite of 'ggplot2' aesthetics and scales for controlling pattern appearances.  Supports over a dozen builtin patterns (every pattern implemented by 'gridpattern') as well as allowing custom user-defined patterns.

Provides tools for creating publication-ready dimensionality reduction plots, including Principal Component Analysis (PCA), t-Distributed Stochastic Neighbor Embedding (t-SNE), and Uniform Manifold Approximation and Projection (UMAP). This package helps visualize high-dimensional data with options for custom labels, density plots, and faceting, using the 'ggplot2' framework Wickham (2016) <doi:10.1007/978-3-319-24277-4>.

Modern Parallel Coordinate Plots have been introduced in the 1980s as 
    a way to visualize arbitrarily many numeric variables. This Grammar of Graphics implementation
    also incorporates categorical variables into the plots in a principled manner. 
    By separating the data managing part from the visual rendering, we give full access
    to the users while keeping the number of parameters manageably low.

Provides plotting functions for visualizing pedigrees and family trees. The package complements a behavior genetics package 'BGmisc' [Garrison et al. (2024) <doi:10.21105/joss.06203>] by rendering pedigrees using the 'ggplot2' framework. Features include support for duplicated individuals, complex mating structures, integration with simulated pedigrees, and layout customization. Due to the impending deprecation of kinship2, version 1.0 incorporates the layout helper functions from kinship2. The pedigree alignment algorithms are adapted from 'kinship2' [Sinnwell et al. (2014) <doi:10.1159/000363105>]. We gratefully acknowledge the original authors: Jason Sinnwell, Terry Therneau, Daniel Schaid, and Elizabeth Atkinson for their foundational work.