cograph (version 2.0.0)

robustness_summary: Summary of Robustness Analysis

Description

Provides a summary comparing robustness metrics across attack strategies.

Usage

robustness_summary(..., x = NULL, measures = NULL, n_iter = 1000)

Value

Data frame with AUC and critical points for each measure.

Arguments

...

Robustness results to summarize.

x

Network for on-the-fly computation.

measures

Measures to compute if x provided.

n_iter

Iterations for random. Default 1000.

Examples

if (FALSE) {
if (requireNamespace("igraph", quietly = TRUE)) {
  g <- igraph::sample_pa(30, m = 2, directed = FALSE)
  robustness_summary(x = g, measures = c("degree", "random"), n_iter = 10)
}
}