simulate.GPPM: Simulate from a Gaussian process panel model

In gppm: Gaussian Process Panel Modeling

Description

This function is used to simulate from a Gaussian process panel model, which has been specified using gppm.

Usage

## S3 method for class 'GPPM'
simulate(object, nsim = 1, seed = NULL,
  parameterValues = NULL, verbose = FALSE, ...)

Arguments

object	object of class GPPM. The Gaussian process panel model from which to simulate.
nsim	integer. Number of data sets to generate.
seed	numeric. Random seed to be used.
parameterValues	numeric vector. Used to specify the values for the parameters. Which value belongs to which parameter is determined by the names attribute of parameterValues. See also the example.
verbose	boolean. Print diagnostic output?
...	additional parameters (currently not used).

Value

A simulated data set, which is an object of class 'LongData'. If nsim>1 a list of nsim simulated data sets.

Examples

data("demoLGCM")
lgcm <- gppm('muI+muS*t','varI+covIS*(t+t#)+varS*t*t#+(t==t#)*sigma',
        demoLGCM,'ID','x')

parameterValues <- c(10,-1,0,10,0,0.1)
names(parameterValues) <-c('muI','muS','varI','varS','covIS','sigma')
simData <- simulate(lgcm,parameterValues=parameterValues)

gppm documentation built on May 2, 2019, 6:50 a.m.