simulate: Simulate data from a structural equation model

In nlsem: Fitting Structural Equation Mixture Models

Simulate data from a structural equation model

Description

Simulate data from a structural equation mixture model.

Usage

## S3 method for class 'singleClass'
simulate(object, nsim = 1, seed = NULL, n = 400, m = 16, parameters, ...)
## S3 method for class 'semm'
simulate(object, nsim = 1, seed = NULL, n = 400, parameters, ...)
## S3 method for class 'nsemm'
simulate(object, nsim = 1, seed = NULL, n = 400, m = 16, parameters, ...)

Arguments

object	structural equation model of class singleClass, semm, or nsemm.
parameters	‘true’ parameters which should be used to simulate data.
nsim	number of response vectors to simulate. Defaults to 1.
seed	set seed. Default is NULL.
n	data for how many observations should be simulated.
m	number of nodes for Hermite-Gaussian quadrature. Only needed for singleClass and nsemm.
...	additional arguments.

Value

Returns a matrix with n rows and as many columns as indicators are entered into the model.

Examples

# specify model
model <- specify_sem(num.x = 6, num.y = 3, num.xi = 2, num.eta = 1,
  xi = "x1-x3,x4-x6", eta = "y1-y3", interaction = "eta1~xi1:xi2")

# original parameters
pars.orig <- c(.6, .5, .4, .5, .4, .6, .5, .2, .6, .7, .3, .2, .5,
               .7, .3, .4, .6, .2, .3, .4, .6, .2, .2, .2, .2, .3,
               .3, 1, 0, 0, .8)

# simulate data from model
dat <- simulate(model, parameters = pars.orig)

nlsem documentation built on Aug. 31, 2023, 5:14 p.m.