`conf.test.Rd`

Likelihood ratio test for gnp vs configuration model.

```
conf.test(
graph,
directed,
selfloops,
nempirical = NULL,
parallel = NULL,
seed = NULL
)
```

- graph
adjacency matrix or igraph graph

- directed
a boolean argument specifying whether object is directed or not.

- selfloops
a boolean argument specifying whether the model should incorporate selfloops.

- nempirical
optional, number of graphs to sample from null distribution for empirical distribution.

- parallel
optional, number of cores to use or boolean for parallel computation. If passed TRUE uses all cores-1, else uses the number of cores passed. If none passed performed not in parallel.

- seed
optional integer

p-value of test.

```
data("adj_karate")
conf.test(graph = adj_karate, directed = FALSE, selfloops = FALSE, seed=123)
#>
#> LR test -- gnp vs CM
#>
#> data:
#> lr = 299.79, df = 33, p-value < 2.2e-16
#> alternative hypothesis: one.sided
#> 95 percent confidence interval:
#> 19.63033 51.83806
#>
```