correlation (>= 0.8.3), datawizard (>= 0.6.2), dplyr, ggplot2,
ggrepel, ggsignif, glue, insight (>= 0.18.5), paletteer,
parameters (>= 0.19.0), patchwork, performance (>= 0.10.0),
purrr, rlang, stats, statsExpressions (>= 1.3.4), tidyr, utils

person(given = "David",
family = "Sjoberg",
role = c("aut", "cre"),
email = "dav.sjob@gmail.com")
Make smoothed stacked area charts in 'ggplot2'. Stream plots are useful to show magnitude trends over time.
ggplot2, purrr, dplyr, stats, magrittr, tidyr, forcats

Continuous Confidence Interval Plots using t-Distribution
Provides an extension to 'ggplot2' (Wickham, 2016, <doi:10.1007/978-3-319-24277-4>) for creating two
types of continuous confidence interval plots (Violin CI and Gradient CI plots), typically for the sample mean.
These plots contain multiple user-defined confidence areas with varying colours,
defined by the underlying t-distribution used to compute standard confidence intervals for
the mean of the normal distribution when the variance is unknown.
Two types of plots are available, a gradient plot with rectangular areas, and a violin plot where the
shape (horizontal width) is defined by the probability density function of the t-distribution.

Explore complex data by embedding subplots within plots.
Garrett Grolemund <grolemund@rice.edu>, Hadley Wickham
<h.wickham@gmail.com>
ggsubplot makes it easy to embed customized subplots
within larger graphics. Subplots may be used as a geom to
explore interaction effects, spatial data, and hierarchical
data. Subplots can also be used to explore big data without
overplotting.
ggplot2, plyr, proto, grid, scales, stringr
'aesply.r' 'data.r' 'geom_coxcomb.r' 'geom_star.r'
'geom_subplot.r' 'geom_subplot2d.r' 'ggsubplot-class.r'
'ggsubplot_build.r' 'merge_overlaps.r' 'package.r' 'ply_aes.r'
'ref_box.r' 'rel-class.r' 'rescalers.r' 'sp_layer-class.r'
'sp_layer_build.r' 'util.r' 'geom_freqstar.r'

Garrett Grolemund <garrett@rstudio.com>, Hadley
Wickham <h.wickham@gmail.com>
ggsubplot makes it easy to embed customized
subplots within larger graphics. Subplots may be used
as a geom to explore interaction effects, spatial data,
and hierarchical data. Subplots can also be used to
explore big data without overplotting.