anova.IRTest |
Model comparison |
best_model |
Selecting the best model |
cat_clps |
A recommendation for category collapsing of items based on item parameters |
coef.IRTest |
Extract Model Coefficients |
coef_se |
Extract Standard Errors of Model Coefficients |
DataGeneration |
Generating an artificial item response dataset |
dist2 |
Re-parameterized two-component normal mixture distribution |
factor_score |
Estimated factor scores |
inform_f_item |
Item information function |
inform_f_test |
Test information function |
IRTest_Cont |
Item and ability parameters estimation for continuous response items |
IRTest_Dich |
Item and ability parameters estimation for dichotomous items |
IRTest_Mix |
Item and ability parameters estimation for a mixed-format item response data |
IRTest_Poly |
Item and ability parameters estimation for polytomous items |
item_fit |
Item fit diagnostics |
latent_distribution |
Latent density function |
logLik.IRTest |
Extract Log-Likelihood |
original_par_2GM |
Recovering original parameters of two-component Gaussian mixture distribution from re-parameterized values |
plot.IRTest |
Plot of the estimated latent distribution |
plot_item |
Plot of item response functions |
print.IRTest |
Printing the result |
print.IRTest_summary |
Printing the summary |
recategorize |
Recategorization of data using a new categorization scheme |
reliability |
Marginal reliability coefficient of IRT |
summary.IRTest |
Summary of the results |