simMLgvar: Generate graphical VAR data of multiple subjects
In graphicalVAR: Graphical VAR for Experience Sampling Data

View source: R/simMLgvar.R

simMLgvar

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