## Not run:
#
# # simulate Rasch model based data
# # 100 persons, 20 items,
# dat <- simul.rasch(100, items = seq(-3, 3, length.out = 20))
# # reshape simulated data into 'long' format with balanced assignment
# # of examinees into two subgroups.
# dat.long <- reshape.rasch(dat, group = rep(0:1, each = nrow(dat) / 2))
# # apply three-way analysis of variance with mixed classification for testing the Rasch model.
# res <- aov.rasch(dat.long)
# summary(res)
# ## End(Not run)
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