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

.

`model`

a

`sbm-class`

object to store the model fitted`name`

generative model name

`icl`

icl value of the fitted model

`K`

number of extracted clusters over rows 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: matrix of size K*K 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)