Title: Summarise a Distribution Through Coloured Intervals
Description: Implements the functionality of the 'fanplot' package as 'geoms'
for 'ggplot2'. Designed for summarising MCMC samples from a posterior
distribution, where a visualisation is desired for several values of a
continuous covariate. Increasing posterior intervals of the sampled quantity
are mapped to a continuous colour scale.
Authors@R: person("Jason", "Hilton", email = "jason_hilton@yahoo.com",
Imports: ggplot2, colorspace, dplyr, stats, grid
Suggests: testthat, knitr, rmarkdown, tidyr, magrittr, tibble, rstan

Imports: ggplot2, colorspace, dplyr, stats, grid, rstan
Suggests: testthat, knitr, rmarkdown, tidyr, magrittr, tibble

Title: Fit Text Inside a Box in 'ggplot2'
Authors@R: person("David", "Wilkins", email = "david@wilkox.org",
Description: Provides 'ggplot2' geoms to fit text into a box by growing, shrinking

Imports: grid (>= 3.1), stringi (>= 1.1.2), ggplot2 (>= 2.2.1), shades

Suggests: knitr, rmarkdown, testthat, vdiffr, spelling

Title: Focus on Specific Factor Levels in your ggplot()
Description: A 'ggplot2' extension that provides tools for automatically focusing specific factor levels.
Imports: magrittr, dplyr, rlang, RColorBrewer, ggplot2

Imports: magrittr, dplyr, rlang, RColorBrewer
Suggests: knitr, rmarkdown, gapminder, ggmap

Title: Scales that Focus Specific Levels in your ggplot()
Authors@R: person("Victor", "Freguglia", email = "victorfreguglia@gmail.com",
Description: A 'ggplot2' extension that provides tools for automatically
creating scales to focus on subgroups of the data plotted
Suggests: knitr, rmarkdown, maps, ggrepel

Description: The aim of 'ggplot2' is to aid in visual data investigations. This
focus has led to a lack of facilities for composing specialised plots.
'ggforce' aims to be a collection of mainly new stats and geoms that fills
this gap. All additional functionality is aimed to come through the official
extension system so using 'ggforce' should be a stable experience.
Imports: Rcpp (>= 0.12.2), grid, dplyr, scales, MASS, tweenr, units (>=
Collate: 'RcppExports.R' 'aaa.R' 'arc_bar.R' 'arc.R' 'bezier.R'