random_unfit_sg: Generate a random unfit signalgraph object Since the vertices...

In robertness/signalgraph: Signal Processing with Graphs

Description

Generate a random unfit signalgraph object

Since the vertices that must have data are the roots and the leaves, (everything in between can be hidden), then a data frame is simulated for only those nodes.

Usage

random_unfit_sg(p, n = p * p + p, input_g = NULL, method = "ordered",
  no_fixed_prob = 0.3, ...)

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.
no_fixed_prob	probability of generating a case with no fixed variable nodes

Value

an initialized, but unfit (unoptimized) signal graph model

See Also

power_signal_graph

sim_DAG

rand_case

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