DcLbmFit-class function

Degree corrected Latent Block Model fit results class

An S4 class to represent a fit of a degree corrected stochastic block model for co_clustering, extend IclFit-class. class

Slots

• model: a DcLbm-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

• Krow: number of extracted row clusters

• Kcol: number of extracted column clusters

• 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
    * din: numeric vector of size K which store the sums of in-degrees for each clusters
    * dout: numeric vector of size K which store the sums of out-degrees for each clusters
    * x_counts: matrix of size K*K with the number of links between each pair of clusters
    * co_x_counts: matrix of size Krow*Kcol with the number of links between each pair of row and column cluster
  

• clrow: a numeric vector with row cluster indexes

• clcol: a numeric vector with column cluster indexes

• Nrow: number of rows

• Ncol: number of columns

• 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,DcLbmFit-method