Nothing
\dontrun{
# NOTE: to run the example. Download and load the newst version of cSEM.DGP
# from GitHub using devtools::install_github("M-E-Rademaker/cSEM.DGP").
# Create two data generating processes (DGPs) that only differ in how the composite
# X is build. Hence, the two groups are not compositionally invariant.
dgp1 <- "
# Structural model
Y ~ 0.6*X
# Measurement model
Y =~ 1*y1
X <~ 0.4*x1 + 0.8*x2
x1 ~~ 0.3125*x2
"
dgp2 <- "
# Structural model
Y ~ 0.6*X
# Measurement model
Y =~ 1*y1
X <~ 0.8*x1 + 0.4*x2
x1 ~~ 0.3125*x2
"
g1 <- generateData(dgp1, .N = 399, .empirical = TRUE) # requires cSEM.DGP
g2 <- generateData(dgp2, .N = 200, .empirical = TRUE) # requires cSEM.DGP
# Model is the same for both DGPs
model <- "
# Structural model
Y ~ X
# Measurement model
Y =~ y1
X <~ x1 + x2
"
# Estimate
csem_results <- csem(.data = list("group1" = g1, "group2" = g2), model)
# Test
testMICOM(csem_results, .R = 50, .alpha = c(0.01, 0.05), .seed = 1987)
}
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