Analysis of dichotomous and polytomous response data using unidimensional and multidimensional latent trait models under the Item Response Theory paradigm. Exploratory and confirmatory models can be estimated with quadrature (EM) or stochastic (MHRM) methods. Confirmatory bifactor and twotier analyses are available for modeling item testlets. Multiple group analysis and mixed effects designs also are available for detecting differential item and test functioning as well as modelling item and person covariates. Finally, latent class models such as the DINA, DINO, multidimensional latent class, and several other discrete latent variable models are supported.
Package details 


Author  Phil Chalmers [aut, cre, cph], Joshua Pritikin [ctb], Alexander Robitzsch [ctb], Mateusz Zoltak [ctb], KwonHyun Kim [ctb], Carl F. Falk [ctb], Adam Meade [ctb] 
Date of publication  20170723 17:33:22 UTC 
Maintainer  Phil Chalmers <rphilip.chalmers@gmail.com> 
License  GPL (>= 3) 
Version  1.25 
URL  https://github.com/philchalmers/mirt https://github.com/philchalmers/mirt/wiki https://groups.google.com/forum/#!forum/mirtpackage 
Package repository  View on CRAN 
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