Diagnostic and Plotting Functions to Supplement 'bartCause'
c(
person("Joseph", "Marlo", email = "jpm770@nyu.edu", role = c("aut", "cre")),
person("George", "Perrett", email = "gp77@nyu.edu", role = c("aut"))
)
Functions to assist in diagnostics and plotting during the causal inference modeling process.
Supplements the 'bartCause' package.
testthat, vdiffr, arm (>= 1.10.1), covr, knitr, rmarkdown
Joseph Marlo [aut, cre],
George Perrett [aut]

Plot Summary Statistics as Choropleth Maps of Danish
Administrative Areas
Provides a ggplot2 front end to plot summary statistics on danish provinces,
regions, municipalities, and zipcodes. The needed geoms of each of the four levels are
inherent in the package, thus making these types of plots easy for the user. This is essentially
an updated port of the previously available 'mapDK' package by Sebastian Barfort.
person(given = "Kristian Stendorff",
family = "Nielsen",
role = c("aut", "cre"),
email = "krisdorff@hotmail.com")
dplyr, ggplot2 (>= 3.1.0), mapproj, plotly, purrr, rlang

Custom Function to Plot Components from a Gaussian Mixture Model
c(person("Philip", "Waggoner", role = c("aut", "cre"), email = "pdwaggoner@wm.edu"),
person("Fong", "Chan", role = "aut"))
Custom function to be used in plotting components from a Gaussian mixture model. Usage most often will be specifying the "fun" argument
within "stat_function" in a ggplot2 object.
Philip Waggoner [aut, cre],
Fong Chan [aut]

Tools for Visualizing Gaussian Mixture Models
c(person("Philip", "Waggoner", role = c("aut", "cre"), email = "philip.waggoner@gmail.com"),
person("Fong", "Chan", role = "aut"))
The main function, plot_GMM, is used for plotting output from Gaussian mixture models,
including both densities and overlaying mixture weight component curves from the fit GMM. The
package includes another function, plot_mix_comps, which is used in the plot_GMM function, and
can be used in any plot generated by the user for overlaying mixture component curves from
Gaussian mixture models. For the plot_mix_comps function, usage most often will be specifying
the "fun" argument within "stat_function" in a ggplot2 object.