Functions for survey data including svydesign objects from the 'survey' package that call 'ggplot2' to make bar charts, histograms, boxplots, and hexplots of survey data.

Ease the creation of time-to-event (i.e. survival) endpoint
    figures. The modular functions create figures ready for publication.
    Each of the functions that add to or modify the figure are written as
    proper 'ggplot2' geoms or stat methods, allowing the functions from
    this package to be combined with any function or customization from
    'ggplot2' and other 'ggplot2' extension packages.

Offers various swiss maps as data frames and 'ggplot2' objects and gives the
    possibility to add layers of data on the maps. Data are publicly available
    from the swiss federal statistical office. In addition to the \code{maps2} 
    object (a list of 8 swiss maps, at various levels), there are the data 
    frames with the boundaries used to produce these maps 
    (\code{shp_df}, a list with 8 data frames).

Extends the 'ggplot2' plotting system to support network visualization. Inspired by the 'Method 1' in 'ggtree' (G Yu (2018) <doi:10.1093/molbev/msy194>), 'ggtangle' is designed to work with network associated data.

Provides a comprehensive suite of functions for processing and visualizing taxonomic data. It includes functionality to clean and transform taxonomic data, categorize it into hierarchical ranks (such as Phylum, Class, Order, Family, and Genus), and calculate the relative abundance of each category. The package also generates a color palette for visual representation of the taxonomic data, allowing users to easily identify and differentiate between various taxonomic groups. Additionally, it features a river plot visualization to effectively display the distribution of individuals across different taxonomic ranks, facilitating insights into taxonomic visualization.

A collection of palettes and themes for 'ggplot2', offering a light, pastel aesthetic. Syntax follows the 'viridis' package.