Stochastic Block Model with sampling scheme fit results class

Source: R/misssbm.R

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

Slots

model

a misssbm-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 observed links between each pair of clusters

  • x_counts_obs: matrix of size K*K with the number of observed dyads 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)