Estimate community number with SNAC+

Applying SNAC+ test sequentially to estimate community number of a network fit to DCSBM

snac_select(
  A,
  Kmin = 1,
  Kmax,
  alpha = 1e-05,
  labels = NULL,
  cluster_fct = spec_clust,
  ...
)

Arguments

A: adjacency matrix.
Kmin: minimum candidate community number.
Kmax: maximum candidate community number.
alpha: significance level for rejecting the null hypothesis.
labels: a matrix with each column being a row label vector for a candidate community number. If not provided, will be computed by cluster_fct.
cluster_fct: community detection function to get label vectors to compute SNAC+ statistics (in snac_test), by default using spec_clust.
...: additional arguments for cluster_fct.

estimated community number.

A <- sample_dcpp(500, 10, 3, 0.1)$adj
snac_select(A, Kmax = 6)
#> [1] 3