sim_tsGVAR {IVPP} | R Documentation |
Simulate data for a (multi-group) N = 1 GVAR model
Description
This function generates data for the input (multi-group) N = 1 GVAR model
Usage
sim_tsGVAR(
temp_base_ls,
beta_base_ls,
cont_base_ls,
kappa_base_ls,
n_node,
n_time = 50,
n_person,
save_nets = FALSE
)
Arguments
temp_base_ls |
a list of temporal networks of all individuals |
beta_base_ls |
a list of beta matrices of all individuals |
cont_base_ls |
a list of contemporaneous networks of all individuals |
kappa_base_ls |
a list of precision matricies of all individuals |
n_node |
number of nodes |
n_time |
number of measurements per person, default to 50 |
n_person |
number of individuals to generate data for |
save_nets |
a logical value indicating whether to save the data-generating networks, default to FALSE |
Value
A list of temporal and contemporaneous networks
Author(s)
Xinkai Du Maintainer: Xinkai Du xinkai.du.xd@gmail.com
Examples
library(IVPP)
# Generate the network
net_ls <- gen_tsGVAR(n_node = 6,
p_rewire_temp = 0.5,
p_rewire_cont = 0,
n_persons = 3)
# Generate the data
data <- sim_tsGVAR(beta_base_ls = net_ls$beta,
kappa_base_ls = net_ls$kappa,
# n_person = 3,
n_time = 50)
[Package IVPP version 1.1.1 Index]