mirtCAT: Computerized Adaptive Testing with Multidimensional Item Response Theory

Provides tools to generate an HTML interface for creating adaptive and non-adaptive educational and psychological tests using the shiny package. Suitable for applying unidimensional and multidimensional computerized adaptive tests (CAT) using item response theory methodology and for creating simple questionnaires forms to collect response data directly in R. Additionally, optimal test designs (e.g., "shadow testing") are supported for tests which contain a large number of item selection constraints. Finally, package contains tools useful for performing Monte Carlo simulations for studying the behavior of computerized adaptive test banks.

Install the latest version of this package by entering the following in R:
install.packages("mirtCAT")
AuthorPhil Chalmers [aut, cre]
Date of publication2017-03-02 23:54:04
MaintainerPhil Chalmers <rphilip.chalmers@gmail.com>
LicenseGPL (>= 3)
Version1.4
https://github.com/philchalmers/mirtCAT, https://github.com/philchalmers/mirtCAT/wiki, https://groups.google.com/forum/#!forum/mirt-package

View on CRAN

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

Please suggest features or report bugs with the GitHub issue tracker.

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