Summarize a Collection of Normal-Block Models — summary.NormalBlockCollection • normalblockr

Summarizes a collection of normal-block models: model type, the full criteria table, and the range of q/sparsity explored.

Usage

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

Arguments

object: An object inheriting from NormalBlockCollection.
...: not used, only here for S3 compatibility

Value

An object of class `summary.NormalBlockCollection` (a list with the collection's `who_am_I`, `criteria`, `q_range` and `sparsity_range`), printed with a dedicated [print.summary.NormalBlockCollection()] 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)
models <- normal_block(data, blocks = 2:5, control = NB_control(verbose = FALSE))
summary(models)
#> A diagonal normal-block-var model with unknown q 
#> ===========================================================================
#>     q ranging from 2 to 5 
#> ===========================================================================
#>  nb_param q n_edges sparsity   loglik deviance      BIC      ICL     EBIC niter
#>        44 2       1        0 -785.297 1570.595 1742.724 1601.310 1744.110    16
#>        48 3       3        0 -529.095 1058.190 1245.967 1002.366 1252.559     9
#>        53 4       6        0 -525.888 1051.775 1259.112  957.837 1275.748    92
#>        59 5      10        0 -525.877 1051.753 1282.562 1042.533 1314.751   146