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plotGMM  

Tools for Visualizing Gaussian Mixture Models
View on CRAN: Click here


Download and install plotGMM package within the R console
Install from CRAN:
install.packages("plotGMM")

Install from Github:
library("remotes")
install_github("cran/plotGMM")

Install by package version:
library("remotes")
install_version("plotGMM", "0.2.2")



Attach the package and use:
library("plotGMM")
Maintained by
Philip Waggoner
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-12-25
Latest Update: 2020-07-07
Description:
The main function, plot_GMM, is used for plotting output from Gaussian mixture models (GMMs), including both densities and overlaying mixture weight component curves from the fit GMM. The package also include the function, plot_cut_point, which plots the cutpoint (mu) from the GMM over a histogram of the distribution with several color options. Finally, the package includes the function, plot_mix_comps, which is used in the plot_GMM function, and can be used to create a custom plot for overlaying mixture component curves from GMMs. For the plot_mix_comps function, usage most often will be specifying the "fun" argument within "stat_function" in a ggplot2 object.
How to cite:
Philip Waggoner (2018). plotGMM: Tools for Visualizing Gaussian Mixture Models. R package version 0.2.2, https://cran.r-project.org/web/packages/plotGMM. Accessed 06 Mar. 2026.
Previous versions and publish date:
0.1.0 (2018-12-25 23:20), 0.2.0 (2019-04-18 18:30), 0.2.1 (2019-06-29 01:21)
Other packages that cited plotGMM R package
View plotGMM citation profile
Other R packages that plotGMM depends, imports, suggests or enhances
Complete documentation for plotGMM
Functions, R codes and Examples using the plotGMM R package
Some associated functions: plot_GMM . plot_cut_point . plot_mix_comps . 
Some associated R codes: plot_GMM.R . plot_cut_point.R . plot_mix_comps.R . zzz.R .  Full plotGMM package functions and examples
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