sf, ggplot2, dplyr, magrittr, methods, purrr, tibble, plotly,
RVenn, yulab.utils

c(person(given = "Afton",
family = "Coombs",
role = c("aut", "cre", "cph"),
email = "aftoncoombs@gmail.com"),
person(given = "Tan",
family = "Ho",
role = c("ctb"),
email = "tan@tanho.ca",
comment = c(ORCID = "0000-0001-8388-5155")))
'D&D' alignment charts show 9 boxes with values for good
through evil and values for chaotic through lawful. This package
easily creates these alignment charts from user-provided image paths
and alignment values.
Afton Coombs [aut, cre, cph],
Tan Ho [ctb] (<https://orcid.org/0000-0001-8388-5155>)

Extra geoms and scales for 'ggplot2', including geom_cloud(),
a Normal density cloud replacement for errorbars;
transforms ssqrt_trans and pseudolog10_trans, which are loglike but
appropriate for negative data; interp_trans() and warp_trans() which
provide scale transforms based on interpolation;
and an infix compose operator for scale transforms.

person('Jason Cory', 'Brunson', email = 'cornelioid@gmail.com',
role = c('aut', 'cre'))
Alluvial diagrams use x-splines, sometimes augmented with stacked
histograms, to visualize multi-dimensional or repeated-measures data with
categorical or ordinal variables. They can be viewed as simplified and
standardized Sankey diagrams; see Riehmann, Hanfler, and Froehlich (2005)
<doi:10.1109/INFVIS.2005.1532152> and Rosvall and Bergstrom (2010)
<doi:10.1371/journal.pone.0008694>. This package provides ggplot2 layers
to produce alluvial diagrams from tidy data.
stats, dplyr (>= 0.7.0), tidyr (>= 0.7.0), lazyeval, rlang,
tidyselect
grid, alluvial, testthat, knitr, babynames, sessioninfo,
ggrepel, ggfittext (>= 0.6.0)

Alluvial plots use x-splines, sometimes augmented with stacked
histograms, to visualize multi-dimensional or repeated-measures data with
categorical or ordinal variables. They can be viewed as simplified and
standardized Sankey diagrams; see Riehmann, Hanfler, and Froehlich (2005)
<doi:10.1109/INFVIS.2005.1532152> and Rosvall and Bergstrom (2010)
<doi:10.1371/journal.pone.0008694>. This package provides ggplot2 layers
to produce alluvial plots from tidy data.
stats, dplyr (>= 0.7), tidyr (>= 0.7), lazyeval, rlang,
tidyselect
grid, alluvial, testthat, knitr, babynames, sessioninfo,
ggrepel, ggfittext (>= 0.6), vdiffr (>= 0.2)