simulation: simulate multiple sparse graphs and generate samples

In JointNets: End-to-End Sparse Gaussian Graphical Model Simulation, Estimation, Visualization, Evaluation and Application

Description

simulate multiple sparse graphs and generate samples

Usage

simulation(p = 20, n, seedNum = 37, s = 0.1, ss = 0.1)

Arguments

p	number of features (number of nodes)
n	a vector indicating number of samples and tasks, for example c(100,200,300) for 3 tasks and 100,200 and 300 samples for task 1, 2 and 3
seedNum	seed number for random simulation
s	positive number that controls sparsity of the generated graphs
ss	positive number that controls sparsity of the shared part of generated graphs

Value

a list comprising $simulatedgraphs (multiple related simulated graphs) and $simulatedsamples (samples generated from multiple related graphs)

Examples

library(JointNets)
simulateresult = simulation(p = 20,  n = c(100,100))
plot(simulateresult$simulatedgraphs)

JointNets documentation built on July 30, 2019, 1:02 a.m.