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kappa_coef() function to calculate Cohen’s
weighted/unweighted Kappa coefficient.Response objects prints ‘misc’ fields without an error
when there is a factor type variable.irt:::marginal_reliability(..., method = "empirical").title = NULL.item_analysis() function now has a new argument
stats where only selected item analysis statistics can be
calculated.item_analysis() function can now calculate
pval_unadj which is simply the mean of item scores.
pval is still the mean of item scores divided by each
item’s maximum possible score.area_between_icc() function to calculate the area
between two item characteristic curves of two unidimensional dichotomous
items. The function can calculate either exact area (except when 3PL
with different pseudo-guessing parameters) or area between two theta
values.cat_sim() function can use MAP (maximum-a-posteriori or
Bayes Modal) and MAP + ML (i.e. MAP until an imperfect response string
and ML after) ability estimation methods.$.cat_output”.output_type argument to
est_ability(, output_type = ) function with available
following output types: "list", "data.frame",
"tibble". Previously, the output was only a “list”.Itempool object with one testlet can be
printed without an error.$item_ids to testlet object to get the ids of the
items within the testlet.plot_empirical_icc() function.$max_score for Testlet objects. For
a given Testlet object t1,
t1$max_score returns the maximum obtainable score by all
items within the testlet.$resp_item_list for Itempool
objects. For an Itempool object ip,
ip$resp_item_list will combine items that are not in a
testlet and items within a testlet and returns a list object that is
composed of only Item objects.est_bilog() function to estimate item parameters
for “1PL”, “2PL” and “3PL” models using BILOG-MG on computers with
Windows OS. This function requires an installed BILOG-MG program on the
machine.These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.