Summarize a Normal-Block Model

Summarizes a fitted normal-block model: model type, goodness-of-fit criteria, cluster sizes, and the density of the inferred network between blocks.

Usage

# S3 method for class 'NormalBlockVarBase'
summary(object, ...)

Arguments

object

An object of class NormalBlockVarBase.

...

not used, only here for S3 compatibility

Value

An object of class `summary.NormalBlockVarBase` (a list with the model's `who_am_I`, `criteria`, `cluster_sizes` and network `density`), printed with a dedicated [print.summary.NormalBlockVarBase()] method.

Examples

ex_data <- generate_normal_block_var_data(n = 50, p = 20, d = 1, q = 3)
data <- NormalBlockData$new(ex_data$Y, ex_data$X)
model <- normal_block(data, blocks = 3, control = NB_control(verbose = FALSE))
summary(model)
#> A diagonal normal-block model with 3 unknown blocks .
#> ===========================================================================
#>  nb_param q n_edges sparsity   loglik deviance      BIC      ICL     EBIC niter
#>        48 3       3        0 -580.406 1160.812 1348.589 1125.142 1355.181     8
#> ===========================================================================
#> * Cluster sizes: 9, 6, 5 
#> * Network: 3 edge(s), density = 1