Create epicurves, epigantt charts, and diverging bar charts
    using 'ggplot2'. Prepare data for visualisation or other reporting for
    infectious disease surveillance and outbreak investigation (time
    series data).  Includes tidy functions to solve date based
    transformations for common reporting tasks, like (A) seasonal date
    alignment for respiratory disease surveillance, (B) date-based case
    binning based on specified time intervals like isoweek, epiweek, month
    and more, (C) automated detection and marking of the new year based on
    the date/datetime axis of the 'ggplot2', (D) labelling of the last
    value of a time-series.  An introduction on how to use epicurves can
    be found on the US CDC website (2012,
    <https://www.cdc.gov/training/quicklearns/epimode/index.html>).

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.