R: Parameter Estimation of Item Response Theory with Estimation of Latent Distribution

# Parameter Estimation of Item Response Theory with Estimation of Latent Distribution

## Documentation for package ‘IRTest’ version 2.2.0

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

adaptive_test | Ability parameter estimation with fixed item parameters
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