\name{simMLgvar} \alias{simMLgvar} %- Also NEED an '\alias' for EACH other topic documented here. \title{ 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) } %- maybe also 'usage' for other objects documented here. \arguments{ \item{nTime}{ Number of time points per subject } \item{nVar}{ Number of variables } \item{nPerson}{ Number of subjects } \item{propPositive}{ Proportion of positive edges } \item{kappaRange}{ Range of partial contemporaneous correlation coefficients } \item{betaRange}{ Range of temporal coefficients } \item{betweenRange}{ Range of partial between-subjects coefficients } \item{rewireWithin}{ Rewiring probability of contemporaneous networks } \item{betweenVar}{ Between-subjects variabce } \item{withinVar}{ Contemporaneous variance } \item{temporalOffset}{ Specifies the temporal network. Setting this to 2 connects X_i to X_(i+2) } } \value{ A \code{"simMLgvar"} object with the following elements: \item{data }{Generated dataset} \item{fixedKappa }{Fixed inverse contemporaneous covariance matrix} \item{fixedPCC }{Fixed contemporaneous partial correlation network} \item{fixedBeta }{Fixed temporal network} \item{fixedPDC }{Fixed standardized temporal network} \item{between }{Fixed between-subjects network} \item{means }{True means} \item{personData }{Dataset split per person} \item{idvar }{String indicating the id variable} \item{vars }{Vector of strings indicating the variables} } \author{ Sacha Epskamp }