MultSbmFit-class function

Multinomial Stochastic Block Model fit results class

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

See Also

coef,MultSbmFit-method