plot_class_allocation: Plot class allocation (for 'P_r = 2' only)
In RprobitB: Bayesian Probit Choice Modeling

plot_class_allocation

R Documentation

Plot class allocation (for `P_r = 2` only)

Description

This function plots the allocation of decision-maker specific coefficient vectors beta given the allocation vector z, the class means b, and the class covariance matrices Omega.

Usage

plot_class_allocation(beta, z, b, Omega, ...)

Arguments

`beta`	[`matrix(nrow = P_r, ncol = N)`] The matrix of the decider-specific coefficient vectors.
`z`	[`numeric(N)`] The decider class allocations.
`b`	[`matrix(nrow = P_r, ncol = C)`] The matrix of class means as columns.
`Omega`	[`matrix(nrow = P_r * P_r, ncol = C)`] The matrix of vectorized class covariance matrices as columns.
`...`	Optional visualization parameters: `colors`, a character vector of color specifications, `perc`, a numeric between 0 and 1 to draw the `perc` percentile ellipsoids for the underlying Gaussian distributions (`perc = 0.95` per default), `r`, the current iteration number of the Gibbs sampler to be displayed in the legend, `sleep`, the number of seconds to pause after plotting.