sim_system: Generate a random signalgraph object for data simulation

In robertness/signalgraph: Signal Processing with Graphs

Description

Produces a signalgraph objectwhere the values of the observed data and the fitted data are the same. This is designed to produce a gold standard, which can simulate data, where upon a new model can be fit on the simulated data, and the parameters of the standard and learned parameters of the new model can be compared.

Usage

sim_system(p, n, input_g = NULL, method = "ordered", ...)

Arguments

p	the number of desired nodes
n	the number of desired rows in the data
input_g	an igraph object. If supplied then the graph is simulated from a power law fit on this input graph.
method	the fitting method for simulating a directed acyclic graph. Ignored if input_g is supplied.
...	arguments past to fitNetwork, including graph attributes

Value

a signalgraph object

See Also

power_signal_graph

sim_DAG

rand_case

robertness/signalgraph documentation built on May 27, 2019, 10:33 a.m.