if (FALSE) {
# For GUM:
# Generate data
# (toy example: Too few items (due to computation time constraints) for
# accurate estimation of person parameters; larger number of items is
# required in practice):
gen1 <- GenData.GGUM(400, 5, 3, "GUM", seed = 139)
# Fit the GUM:
fit1 <- GUM(gen1$data, 3)
th1 <- Theta.EAP(fit1)
# Plot TIF:
plotTIF(fit1, th1)
}
if (FALSE) {
# For GGUM:
# Generate data:
set.seed(1); C <- sample(3:5, 10, replace = TRUE)
gen2 <- GenData.GGUM(2000, 10, C, "GGUM", seed = 156)
# Fit the GGUM:
fit2 <- GGUM(gen2$data, C)
th2 <- Theta.EAP(fit2)
# Plot TIF:
plotTIF(fit2, th2)
}
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