powered by
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, ... )
estimated community number.
adjacency matrix.
minimum candidate community number.
maximum candidate community number.
significance level for rejecting the null hypothesis.
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.
snac_test
A <- sample_dcpp(500, 10, 3, 0.1)$adj snac_select(A, Kmax = 6)
Run the code above in your browser using DataLab