ctsem (version 2.1.0)

ctGenerate: ctGenerate

Description

This function generates data according to the specified ctsem model object.

Usage

ctGenerate(ctmodelobj, n.subjects = 1000, burnin = 0, dtmean = 1, logdtsd = 0, wide = TRUE, simultdpredeffect = FALSE)

Arguments

ctmodelobj

ctsem model object from ctModel.

n.subjects

Number of subjects to output.

burnin

Number of initial time points to discard (to simulate stationary data)

dtmean

Positive numeric. Average time interval (delta T) to use.

logdtsd

Numeric. Standard deviation for variability of the time interval.

wide

Logical. Output in wide format?

simultdpredeffect

logical - whether time dependent predictors impact instantaneously, or an instant *after* instantaneously. Switch reflects difference between ctStanFit and ctFit.

Details

TRAITTDPREDCOV and TIPREDCOV matrices are not accounted for, at present. The first 1:n.TDpred rows and columns of TDPREDVAR are used for generating tdpreds at each time point.

Examples

#generate data for 2 process model, each process measured by noisy indicator, 
#stable individual differences in process levels.

generatingModel<-ctModel(Tpoints=8,n.latent=2,n.TDpred=0,n.TIpred=0,n.manifest=2,
 MANIFESTVAR=diag(.1,2),
 LAMBDA=diag(1,2),
 DRIFT=matrix(c(-.2,-.05,-.1,-.1),nrow=2),
 TRAITVAR=matrix(c(.5,.2,0,.8),nrow=2),
 DIFFUSION=matrix(c(1,.2,0,4),2),
 CINT=matrix(c(1,0),nrow=2),
 T0MEANS=matrix(0,ncol=1,nrow=2),
 T0VAR=diag(1,2))

data<-ctGenerate(generatingModel,n.subjects=15,burnin=10)