Drop-in replacements for standard base graphics
    functions. The replacements are prettier versions of the originals.

Replace the standard print method for functions with one that
    performs syntax highlighting, using ANSI colors, if the terminal
    supports them.

Defines aesthetically pleasing colour palettes.

Creating tiny yet beautiful documents and vignettes from R
    Markdown. The package provides the 'html_pretty' output format as an
    alternative to the 'html_document' and 'html_vignette' engines that
    convert R Markdown into HTML pages. Various themes and syntax highlight
    styles are supported.

Simple and crisp publication-quality graphics for the ExPosition family of packages.
  See An ExPosition of the Singular Value Decomposition in R (Beaton et al 2014) <doi:10.1016/j.csda.2013.11.006>.

Automates the process of creating a scale bar and north arrow in
    any package that uses base graphics to plot in R. Bounding box tools help find
    and manipulate extents. Finally, there is a function to automate the process
    of setting margins, plotting the map, scale bar, and north arrow, and resetting
    graphic parameters upon completion.

Provides 'ggplot2'-based plotting functions for 'PanelMatch'
    (Imai, Kim, Wang (2023) <doi:10.1111/ajps.12685>) results.
    Tidy-and-plot function pairs for three 'PanelMatch' outputs: treatment effect
    estimates (PanelEstimate()), placebo test diagnostics (placebo_test()), and
    covariate balance checks (get_covariate_balance()). Supports multiple models,
    significance indicators, faceted balance grids, and full 'ggplot2' extensibility.

Pretty, human readable formatting of quantities.
    Time intervals: '1337000' -> '15d 11h 23m 20s'.
    Vague time intervals: '2674000' -> 'about a month ago'.
    Bytes: '1337' -> '1.34 kB'.
    Rounding: '99' with 3 significant digits -> '99.0'
    p-values: '0.00001' -> '<0.0001'.
    Colors: '#FF0000' -> 'red'.
    Quantities: '1239437' -> '1.24 M'.

The prevalence package provides Frequentist and Bayesian methods for prevalence assessment studies. IMPORTANT: the truePrev functions in the prevalence package call on JAGS (Just Another Gibbs Sampler), which therefore has to be available on the user's system. JAGS can be downloaded from <https://mcmc-jags.sourceforge.io/>.