View source: R/HCD-Implement.R
gen.A.from.P | R Documentation |
Generates an adjacency matrix from a given probability matrix, according independent Bernoulli – the so-called inhomogeneous Erdos-Renyi model. It is used to generate new networks from a given model.
gen.A.from.P(P, undirected = TRUE)
P |
connection probability between nodes |
undirected |
logic value. FALSE (default) if the network is undirected, so the adjacency matrix will be symmetric with only upper diagonal entries being generated as independent Bernoulli. |
An adjacency matrix
Tianxi Li, Lihua Lei, Sharmodeep Bhattacharyya, Purnamrita Sarkar, Peter Bickel, and Elizaveta Levina.
Maintainer: Tianxi Li <tianxili@umn.edu>
Li, T., Lei, L., Bhattacharyya, S., Van den Berge, K., Sarkar, P., Bickel, P.J. and Levina, E., 2022. Hierarchical community detection by recursive partitioning. Journal of the American Statistical Association, 117(538), pp.951-968.
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