rDPM_visual {nonparametric.bayes}

Sequentially generate draws from a Dirichlet process mixture model, by showing step by step the iterations taken. The plot is centered at 0, with x and y from -5 to 5. The mixture draws the centres for clusters from a Normal distribution with mean mu and standard deviation sigma_0

Description

Hit enter to keep drawing until max n, type x to exit.

Usage

rDPM_visual(n, alpha, mu, sigma_0, sigma)

Arguments

n

Number of observations.

alpha

Alpha corresponding to GEM(alpha) used to draw the rho vector.

mu

Mean of the Normal distribution used to draw the clusters.

sigma_0

Standard deviation of the Normal distribution used to draw the points around the cluster centre.

sigma

Standard deviation for the cluster centre.

Value

Returns the n observations sampled from the DPMM distribution.

Examples

rDPM_visual(n=30, alpha=3, mu=0, sigma_0=1.5, sigma=0.7)