mpmm.plotassignments: Plot the latent class assigned to each observed event.

In mpmm: Marginal Product Mixture Model for Relational Event Data

Description

This function is useful for exploring the latent classes assigned to the observed events.

Usage

mpmm.plotassignments(dataset, fit, sort = TRUE)

Arguments

dataset	A Tx2 or Tx3 matrix of integers, each row corresponding to an event, each integer identifying the participating vertices.
fit	Output from running mpmm.cgs.
sort	logical indicating whether the rows and columns should be sorted by most likely per class.

Author(s)

Christopher DuBois (<email: [e-mail]>)

Examples

## See demo(enron)

mpmm documentation built on May 2, 2019, 4:55 p.m.