R: Generate graphical VAR data of multiple subjects

simMLgvar {graphicalVAR} | R Documentation

## Generate graphical VAR data of multiple subjects

### Description

See arxiv.org/abs/1609.04156 for details.

### Usage

    simMLgvar(nTime, nVar, nPerson, propPositive = 0.5, kappaRange = c(0.25, 0.5),
              betaRange = c(0.25, 0.5), betweenRange = c(0.25, 0.5),
              rewireWithin = 0, betweenVar = 1, withinVar = 0.25,
              temporalOffset = 2)

### Arguments

`nTime` | Number of time points per subject
`nVar` | Number of variables
`nPerson` | Number of subjects
`propPositive` | Proportion of positive edges
`kappaRange` | Range of partial contemporaneous correlation coefficients
`betaRange` | Range of temporal coefficients
`betweenRange` | Range of partial between-subjects coefficients
`rewireWithin` | Rewiring probability of contemporaneous networks
`betweenVar` | Between-subjects variabce
`withinVar` | Contemporaneous variance
`temporalOffset` | Specifies the temporal network. Setting this to 2 connects X_i to X_(i+2)

### Value

A `"simMLgvar"` object with the following elements:

`data` | Generated dataset
`fixedKappa` | Fixed inverse contemporaneous covariance matrix
`fixedPCC` | Fixed contemporaneous partial correlation network
`fixedBeta` | Fixed temporal network
`fixedPDC` | Fixed standardized temporal network
`between` | Fixed between-subjects network
`means` | True means
`personData` | Dataset split per person
`idvar` | String indicating the id variable
`vars` | Vector of strings indicating the variables

### Author(s)

Sacha Epskamp <mail@sachaepskamp.com>

[Package graphicalVAR version 0.3 Index]