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plotmm  

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


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

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

Install by package version:
library("remotes")
install_version("plotmm", "0.1.2")



Attach the package and use:
library("plotmm")
Maintained by
Philip Waggoner
[Scholar Profile | Author Map]
First Published: 2020-07-10
Latest Update: 2022-11-09
Description:
The main function, plot_mm(), is used for (gg)plotting output from mixture models, including both densities and overlaying mixture weight component curves from the fit models in line with the tidy principles. The package includes several additional functions for added plot customization. Supported model objects include: 'mixtools', 'EMCluster', and 'flexmix', with more from each in active dev. Supported mixture model specifications include mixtures of univariate Gaussians, multivariate Gaussians, Gammas, logistic regressions, linear regressions, and Poisson regressions.
How to cite:
Philip Waggoner (2020). plotmm: Tidy Tools for Visualizing Mixture Models. R package version 0.1.2, https://cran.r-project.org/web/packages/plotmm. Accessed 10 Apr. 2025.
Previous versions and publish date:
0.1.0 (2020-07-10 10:40), 0.1.1 (2022-11-09 22:50)
Other packages that cited plotmm R package
View plotmm citation profile
Other R packages that plotmm depends, imports, suggests or enhances
Complete documentation for plotmm
Functions, R codes and Examples using the plotmm R package
Some associated functions: plot_cut_point . plot_gmm . plot_mix_comps . plot_mix_comps_normal . plot_mm . 
Some associated R codes: plot_cut_point.R . plot_gmm.R . plot_mix_comps.R . plot_mix_comps_normal.R . plot_mm.R .  Full plotmm package functions and examples
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