rough_hierarchy

returns rough roots in the network, rough roots selected as those connected to most number of nodes

rough_hierarchy(network_table, abs_weight = TRUE, directed = TRUE)

Arguments

network_table

The weight data table of network.

abs_weight

Logical value, default is TRUE, whether to perform absolute value on weights, and when set abs_weight to TRUE, the output of weight table will create a new column named Interaction.

directed

Whether the network is directed.

Value

list

Examples

data("example_matrix")
network_table <- inferCSN(example_matrix)
#> ℹ [2025-05-28 02:35:38] Running for <dense matrix>.
#> ℹ [2025-05-28 02:35:38] Checking input parameters.
#> ℹ [2025-05-28 02:35:38] Using L0 sparse regression model.
#> ℹ [2025-05-28 02:35:38] Using 1 core
#> ✔ [2025-05-28 02:35:38] Run done.
rough_hierarchy(network_table)
#> $roots
#>  [1] "g18" "g17" "g4"  "g16" "g12" "g9"  "g13" "g7"  "g11" "g6"  "g14" "g15"
#> [13] "g3"  "g8"  "g5"  "g10" "g1"  "g2" 
#> 
#> $num_paths
#> [1] 18
#>