email="apdevries@gmail.com"), person(c("Brian", "D."), "Ripley", role =
c("aut"), comment = "author of package tree"))
tree plots using ggplot2.  The ggplot2 philosophy is to
Suggests: rpart(>= 4.0-0), tree, testthat, knitr
Packaged: 2014-09-29 13:03:08 UTC; Andrie de Vries
Brian D. Ripley [aut] (author of package tree)

Title: Create Dendrograms and Tree Diagrams Using 'ggplot2'
tree plots using 'ggplot2'.  The 'ggplot2' philosophy is to
The 'ggdendro' package resolves this by making available
functions that extract the dendrogram plot data. The package
provides implementations for tree, rpart, as well as diana and agnes
Suggests: rpart(>= 4.0-0), tree, testthat, knitr, cluster

Suggests: rpart(>= 4.0-0), tree, testthat, knitr, cluster, scales

provides implementations for 'tree', 'rpart', as well as diana and agnes
Suggests: rpart (>= 4.0-0), tree, testthat, knitr, cluster, scales,

Title: Interpretable Bivariate Density Visualization with ggplot2
Description: The 'ggplot2' package provides simple functions for visualizing contours
of 2-d kernel density estimates. 'ggdensity' implements several additional density estimators
as well as more interpretable visualizations based on highest density regions instead of
the traditional height of the estimated density surface.
Author: James Otto [aut, cre] (<https://orcid.org/0000-0002-0665-2515>),

Title: Interpretable Bivariate Density Visualization with 'ggplot2'

Imports: isoband, vctrs, tibble, MASS, stats, scales

Title: Visualizations of Distributions and Uncertainty
person("Matthew", "Kay", role = c("aut", "cre"), email = "mjskay@umich.edu")
Description: Provides primitives for visualizing distributions using 'ggplot2' that are particularly tuned for
visualizing uncertainty in either a frequentist or Bayesian mode. Both analytical distributions (such as
frequentist confidence distributions or Bayesian priors) and distributions represented as samples (such as
bootstrap distributions or Bayesian posterior samples) are easily visualized. Visualization primitives include
but are not limited to: points with multiple uncertainty intervals,
density plots, gradient plots, dot plots (Wilkinson L., 1999) <doi:10.1080/00031305.1999.10474474>,
quantile dot plots (Kay M., Kola T., Hullman J., Munson S., 2016) <doi:10.1145/2858036.2858558>,
barplots (Fernandes M., Walls L., Munson S., Hullman J., Kay M., 2018) <doi:10.1145/3173574.3173718>,
and fit curves with multiple uncertainty ribbons.
purrr (>= 0.2.3), rlang (>= 0.3.0), scales, grid, forcats,
Suggests: knitr, testthat, vdiffr (>= 0.3.0), svglite, broom (>=
0.4.3), modelr, cowplot, covr, gdtools, rmarkdown, ggrepel,