gen_panelGVAR: Generate a (multi-group) panelGVAR model
In IVPP: Invariance Partial Pruning Test

View source: R/mod_gen.R

gen_panelGVAR

R Documentation

Generate a (multi-group) panelGVAR model

Description

This function generates a (multi-group) panel GVAR model. Currently generating temporal and contemporaneous networks

Usage

gen_panelGVAR(
  n_node = 6,
  p_rewire_temp = 0.5,
  p_rewire_cont = 0.5,
  n_group = 1
)

Arguments

`n_node`	an integer denoting the number of nodes
`p_rewire_temp`	a numeric value between 0-1 denoting the extent of group difference in the temporal network
`p_rewire_cont`	a numeric value between 0-1 denoting the extent of group difference in the contemporaneous network
`n_group`	an integer denoting the number of groups

Details

beta can be transposed to obtain the temporal network; PDC is the partial directed correlation matrix, which is a standardized version of temporal network; kappa is the precision matrix denoting conditional (in)dependence, which is a inverse of covariance matrix denoting the (dependence) among variables; kappa can be further standardized to the contemporaneous networks (omega_zeta_within)

Value

A list of beta, PDC, kappa and contemporaneous networks

Author(s)

Xinkai Du Maintainer: Xinkai Du xinkai.du.xd@gmail.com

Examples

library(IVPP)
# Generate the network
net_ls <- gen_panelGVAR(n_node = 6,
                        p_rewire_temp = 0.5,
                        p_rewire_cont = 0,
                        n_group = 2)

IVPP documentation built on June 8, 2025, 11:09 a.m.