Creates one transition matrix per item and fits independent class
proportions and guessing probabilities for every item.
item_lca_fit(
pre_test,
pst_test,
na_as = c("dk", "missing"),
missing_action = c("omit", "error"),
...
)
Arguments
- pre_test
data.frame of pre-test responses
- pst_test
data.frame of post-test responses
- na_as
classification of NA responses
- missing_action
structural missingness handling
- ...
passed to lca_cor()
Value
output from lca_cor()