Parameter Estimation of Item Response Theory with Estimation of Latent Distribution

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Documentation for package ‘IRTest’ version 2.0.0

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

Help Pages

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