snac_select {nett} | R Documentation |
Estimate community number with SNAC+
Description
Applying SNAC+ test sequentially to estimate community number of a network fit to DCSBM
Usage
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 |
community detection function to get label vectors to compute SNAC+ statistics (in snac_test), by default using spec_clust. |
... |
additional arguments for |
Value
estimated community number.
See Also
Examples
A <- sample_dcpp(500, 10, 3, 0.1)$adj
snac_select(A, Kmax = 6)
[Package nett version 1.0.0 Index]