Provides methods of computerized adaptive testing for survey researchers. Includes functionality for data fit with the classic item response methods including the latent trait model, Birnbaum`s three parameter model, the graded response, and the generalized partial credit model. Additionally, includes several ability parameter estimation and item selection routines. During item selection, all calculations are done in compiled C++ code.
simulateThetas()allow for estimation of ability parameter for dataframe of response sets.
gpcmCat()by adding the
ltmpackage to Imports.
methodsimports as it caused errors in testing with r-oldrel.