simulate_moderated_nonlinear_factor_analysis {mxsem}

simulate_moderated_nonlinear_factor_analysis

Description

simulate data for a moderated nonlinear factor analysis.

Usage

simulate_moderated_nonlinear_factor_analysis(N)

Arguments

N

sample size

Value

data set with variables x1-x3 and y1-y3 representing repeated measurements of an affect measure. It is assumed that the autoregressive effect is different depending on covariate k

Examples

library(mxsem)
set.seed(123)
dataset <- simulate_moderated_nonlinear_factor_analysis(N = 2000)

model <- "
xi =~ x1 + x2 + x3
eta =~ y1 + y2 + y3
eta ~ a*xi

# we need two new parameters: a0 and a1. These are created as follows:
!a0
!a1
# Now, we redefine a to be a0 + k*a1, where k is found in the data
a := a0 + data.k*a1
"

mod <- mxsem(model = model,
             data = dataset) |>
  mxTryHard()

omxGetParameters(mod)