| gen.A.from.P {HCD} | R Documentation |
generates a network from the given connection probability
Description
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.
Usage
gen.A.from.P(P, undirected = TRUE)
Arguments
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. |
Value
An adjacency matrix
Author(s)
Tianxi Li, Lihua Lei, Sharmodeep Bhattacharyya, Purnamrita Sarkar, Peter Bickel, and Elizaveta Levina.
Maintainer: Tianxi Li <tianxili@umn.edu>
References
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.