This function provides a summary of the MCMC samples from the dpGLM model

summary_tidy(object, ...)

Arguments

object

a dpGLM object returned by the function hdpGLM

...

The additional parameters accepted are:

true.beta: (see plot.dpGLM)

Details

Data points are assigned to clusters according to the highest estimated probability of belonging to that cluster