as_single_module: Collapses all modules in network into a single module
In SeqNet: Generate RNA-Seq Data from Gene-Gene Association Networks

Description Usage Arguments Value Examples

This modification can be used if it is desired to simulate from a single GGM rather than averaging over the GGMs for each module.

1	as_single_module(network)

network

The 'network' object to modify

The modified 'network' object.

# This function can be used prior to generating weights for the network 
# connections. With multiple modules in the network, the weighted network may
# gain conditional dependencies between nodes across modules. If the network
# is reduced to a single module prior to generating weights, then the
# weighted and unweighted networks will maintain the same structure.
nw <- random_network(20, n_modules = 3)
g <- plot(nw)
nw <- gen_partial_correlations(nw)
plot(nw, g) # Additional edges appear from conditional dependencies across modules.
nw <- remove_weights(nw) # Remove weights to avoid warning message in next call.
nw <- as_single_module(nw)
nw <- gen_partial_correlations(nw)
plot(nw, g) # With only one module, the weighted network has the same structure.