cerqueira.test: Andressa Cerqueira, Daniel Fraiman, Claudia D. Vargas and...
In statGraph: Statistical Methods for Graphs

Description Usage Arguments Value References Examples

Given two identically independently distributed (idd) samples of graphs G1 and G2, the test verifies if they have the same distribution by calculating the mean distance D from G1 to G2. The test rejects the null hypothesis if D is greater than the (1-alpha)-quantile of the distribution of the test under the null hypothesis.

1	cerqueira.test(G1, G2, maxBoot = 300)

`G1`	the first iid sample of graphs to be compared. Must be a list of igraph objects.
`G2`	the second iid sample of graphs to be compared. Must be a list of igraph objects.
`maxBoot`	integer indicating the number of bootstrap resamples (default is 300).

A list containing:

`W`	the value of the test.
`p.value`	the p-value of the test.

Andressa Cerqueira, Daniel Fraiman, Claudia D. Vargas and Florencia Leonardi. "A test of hypotheses for random graph distributions built from EEG data", https://ieeexplore.ieee.org/document/7862892

## Not run: 
set.seed(42)

## test under H0
G1 <- G2 <- list()
for(i in 1:10){
  G1[[i]] <- igraph::sample_gnp(50,0.5)
  G2[[i]] <- igraph::sample_gnp(50,0.5)
}
k1 <- cerqueira.test(G1, G2)
k1

## test under H1
G1 <- G2 <- list()
for(i in 1:10){
  G1[[i]] <- igraph::sample_gnp(50,0.5)
  G2[[i]] <- igraph::sample_gnp(50,0.6)
}
k2 <- cerqueira.test(G1, G2)
k2

## End(Not run)