Tidy Tools for Visualizing Mixture Models

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.


Reference manual

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0.1.0 by Philip Waggoner, a year ago

Report a bug at https://github.com/pdwaggoner/plotmm/issues

Browse source code at https://github.com/cran/plotmm

Authors: Philip Waggoner [aut, cre] , Fong Chan [aut, ctb] , Lu Zhang [aut, ctb]

Documentation:   PDF Manual  

MIT + file LICENSE license

Imports methods, wesanderson, amerika, ggplot2, dplyr, patchwork

Suggests mixtools, EMCluster, flexmix, testthat, graphics

See at CRAN