Framework for the Item Response Theory analysis of dichotomous and ordinal polytomous outcomes under the assumption of within-item multidimensionality and discreteness of the latent traits. The fitting algorithms allow for missing responses and for different item parametrizations and are based on the Expectation-Maximization paradigm. Individual covariates affecting the class weights may be included in the new version together with possibility of constraints on all model parameters.
|Author||Francesco Bartolucci, Silvia Bacci - University of Perugia (IT)|
|Maintainer||Francesco Bartolucci <firstname.lastname@example.org>|
|License||GPL (>= 2)|
|Package repository||View on CRAN|
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