Suggests: covr, ggplot2movies, hexbin, Hmisc, lattice, mapproj, maps,
maptools, mgcv, multcomp, nlme, testthat (>= 0.11.0), quantreg,

Title: Create Elegant Data Visualisations Using the Grammar of Graphics
Description: A system for 'declaratively' creating graphics,
based on "The Grammar of Graphics". You provide the data, tell 'ggplot2'
how to map variables to aesthetics, what graphical primitives to use,
reshape2, scales (>= 0.4.1), stats, tibble, lazyeval
'hexbin.R' 'labeller.r' 'labels.r' 'layer.r' 'layout.R'

person("Winston", "Chang", , role = "aut"),
person("Lionel", "Henry", , role = "aut"),
person("Thomas Lin", "Pedersen", role = "aut"),
person("Kohske", "Takahashi", role = "aut"),
Imports: digest, grid, gtable (>= 0.1.1), lazyeval, MASS, mgcv, plyr
(>= 1.7.1), reshape2, rlang, scales (>= 0.5.0), stats, tibble,
Suggests: covr, dplyr, ggplot2movies, hexbin, Hmisc, lattice, mapproj,
maps, maptools, multcomp, munsell, nlme, testthat (>= 0.11.0),
vdiffr, quantreg, knitr, rgeos, rpart, rmarkdown, sf (>=
'backports.R' 'bench.r' 'bin.R' 'compat-quosures.R' 'coord-.r'
'scales-.r' 'sf.R' 'stat-bin.r' 'stat-bin2d.r' 'stat-bindot.r'

stats, tibble, viridisLite, withr (>= 2.0.0)
Collate: 'ggproto.r' 'ggplot-global.R' 'aaa-.r' 'aes-calculated.r'

person("Hiroaki", "Yutani", role = "aut"),
Imports: digest, grDevices, grid, gtable (>= 0.1.1), lazyeval, MASS,
mgcv, reshape2, rlang (>= 0.3.0), scales (>= 0.5.0), stats,
Suggests: covr, dplyr, ggplot2movies, hexbin, Hmisc, knitr, lattice,
mapproj, maps, maptools, multcomp, munsell, nlme, profvis,
quantreg, rgeos, rmarkdown, rpart, sf (>= 0.7-3), svglite (>=
'axis-secondary.R' 'backports.R' 'bench.r' 'bin.R' 'coord-.r'
'hexbin.R' 'labeller.r' 'labels.r' 'layer.r' 'layer-sf.R'

person("Dewey", "Dunnington", role = "aut"),
Imports: digest, glue, grDevices, grid, gtable (>= 0.1.1), isoband,
MASS, mgcv, rlang (>= 0.3.0), scales (>= 0.5.0), stats, tibble,
'backports.R' 'bench.r' 'bin.R' 'coord-.r' 'coord-cartesian-.r'
'labeller.r' 'labels.r' 'layer.r' 'layer-sf.R' 'layout.R'