Orphaned and corrected on 2020-12-19 as check problems
were not corrected in time.

Failed to recognize Quartz-based bitmap devices.

tools, scales, httr (>= 1.3.0), jsonlite (>= 1.6), magrittr,
digest, viridisLite, base64enc, htmltools (>= 0.3.6),
htmlwidgets (>= 1.5.2.9001), tidyr, RColorBrewer, dplyr, vctrs,
tibble, lazyeval (>= 0.2.0), rlang, crosstalk, purrr,
data.table, promises
MASS, maps, hexbin, ggthemes, GGally, testthat, knitr,
devtools, shiny (>= 1.1.0), shinytest (>= 1.3.0), curl,
rmarkdown, vdiffr, Cairo, broom, webshot, listviewer,
dendextend, sf, maptools, rgeos, png, IRdisplay, processx,
plotlyGeoAssets, forcats, palmerpenguins

tools, scales, httr (>= 1.3.0), jsonlite (>= 1.6), magrittr,
digest, viridisLite, base64enc, htmltools (>= 0.3.6),
htmlwidgets (>= 1.5.2.9001), tidyr, RColorBrewer, dplyr, vctrs,
tibble, lazyeval (>= 0.2.0), rlang (>= 0.4.10), crosstalk,
purrr, data.table, promises

Render 'Plotly' Maps without an Internet Connection
person("Carson", "Sievert", role = c("aut", "cre"),
email = "cpsievert1@gmail.com", comment = c(ORCID = "0000-0002-4958-2844"))
Includes 'JavaScript' files that allow 'plotly' maps to render without an internet connection.
Carson Sievert [aut, cre] (<https://orcid.org/0000-0002-4958-2844>)

Tidy Tools for Visualizing Mixture Models
c(person("Philip", "Waggoner", role = c("aut", "cre"), email = "philip.waggoner@gmail.com"),
person("Fong", "Chan", role = c("aut", "ctb")),
person("Lu", "Zhang", role = c("aut", "ctb")))
The main function, plot_mm(), is used for plotting output from mixture models,
including both densities and overlaying mixture weight component curves from the fit models. In line with the
tidyverse, the package also includes the plot_cut_point() function to visualize the cutpoint (mu) from the model
over a histogram of the data density with several color options. Finally, the package includes the plot_mix_comps()
helper function, which is used for both added customization as well as in the plot_mm() function.
Supported model objects include: 'mixtools', 'EMCluster', and 'flexmix', with more from each forthcoming.
Supported mixture model specifications include mixtures of univariate Gaussians, multivariate Gaussians, Gammas,
logistic regressions, linear regressions, and Poisson regressions.
methods, wesanderson, amerika, ggplot2, dplyr, patchwork
mixtools, EMCluster, flexmix, testthat, graphics
Philip Waggoner [aut, cre],
Fong Chan [aut, ctb],
Lu Zhang [aut, ctb]