Goodness of fit statistics for data without don't know

For data without Don't Know, chi-square goodness of fit between true and model based multivariate distribution

fit_nodk(pre_test, pst_test, g, est.param)

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`

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

fit_nodk

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