| generate_network_P {localboot} | R Documentation |
Generate Network Adjacency Matrix from Probability Matrix
Description
This function generates a network adjacency matrix from a given probability matrix. It checks if the input is a valid probability matrix and can produce either a single network or multiple replicates.
Usage
generate_network_P(P, replicate = 1, symmetric.out = TRUE, noloop = FALSE)
Arguments
P |
A square matrix representing the probability matrix, where each element is a probability (between 0 and 1) of an edge between nodes. |
replicate |
An integer indicating the number of network replicates to generate. Defaults to 1. |
symmetric.out |
A logical value indicating whether the output matrix should be symmetric. Defaults to TRUE. |
noloop |
A logical value indicating whether to include self-loops in the network. Defaults to FALSE. |
Value
If 'replicate' is 1, returns a single adjacency matrix. If 'replicate' is greater than 1, returns a list of adjacency matrices. Each matrix is a square binary matrix, where 1 indicates the presence of an edge and 0 indicates its absence.
Examples
P = generate_graphon(100, 1)
network = generate_network_P(P, replicate = 1, symmetric.out = TRUE)