simMLgvar: Generate graphical VAR data of multiple subjects

In graphicalVAR: Graphical VAR for Experience Sampling Data

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 <[e-mail]>

graphicalVAR documentation built on Oct. 18, 2023, 9:09 a.m.