generate_interaction_network: Add stochasticity to in silico generated data

In lkshrsch/gLVInterNetworks: Inference of interaction networks based on generalised Lotka Volterra dynamics

Usage

generate_interaction_network(parms_matrix, observations, substrate=FALSE, vsize = 
0.1, verbose = FALSE, keepNames = FALSE )

Arguments

parms_matrix
observations
substrate
vsize	Inversely proportional to the size of nodes in network output. Default is 0.1 and often must be set to another value (through try and error) for proper visualization
verbose	Set to TRUE to label edges to the corresponding interaction parameter number
keepNames	Set to TRUE to label the nodes in the network with the names of the variables in the observations table

Examples

##---- Should be DIRECTLY executable !! ----
##-- ==>  Define data, use random,
##--	or do  help(data=index)  for the standard data sets.
## The function is currently defined as

lkshrsch/gLVInterNetworks documentation built on May 21, 2019, 7:33 a.m.