Multinomial Stochastic Block Model fit results class

Source: R/multsbm.R

An S4 class to represent a fit of a Multinomial Stochastic Block Model, extend icl_fit-class.

Slots

model

a multsbm-class object to store the model fitted

name

generative model name

icl

icl value of the fitted model

K

number of extracted clusters over row and columns

cl

a numeric vector with row and columns cluster indexes

obs_stats

a list with the following elements:

  • counts: numeric vector of size K with number of elements in each clusters

  • x_counts: cube of size KxKxM with the number of links between each pair of clusters

move_mat

binary matrix which store move constraints

train_hist

data.frame with training history information (details depends on the training procedure)