Plot the latent variables of the mixture.

It renders a heatmap where the latent variables (reponsibilities) are shown and colured according to their value. This function also calls function Clusters, using a parameter that determines if a point is not to be assigned its best cluster based on a cutoff.

plot_latent_variables(x, cutoff_assignment = 0)

Arguments

x	A MOBSTER fit.
cutoff_assignment	The parameter used to call function Clusters, which does not assign a point to its best cluster if the value of the corresponding latent variable is not above the cutoff.

Value

A plot of the latent variables of the mixture.

Examples

data('fit_example', package = 'mobster')
plot_latent_variables(fit_example$best)
plot_latent_variables(fit_example$best, cutoff_assignment = .9)