Goodness of fit statistics for data with don't know

For data with Don't Know, chi-square goodness of fit between true and model based multivariate distribution

fit_dk(pre_test, pst_test, g, est.param, force9 = FALSE)

Arguments

pre_test	data.frame carrying pre_test items
pst_test	data.frame carrying pst_test items
g	estimates of \(\gamma\) produced from `lca_cor`
est.param	estimated parameters produced from `lca_cor`
force9	Optional. There are cases where DK data doesn't have DK. But we need the entire matrix. By default it is FALSE.

matrix with two rows: top row carrying chi-square value, and bottom row probability of observing that value

fit_nodk

# NOT RUN {
fit_dk(pre_test, pst_test, g, est.param)
# }