The package includes marginal and joint maximum likelihood
estimation of uni- and multidimensional item response models
(Rasch, 2PL, Generalized Partial Credit, Rating Scale, Multi Facets),
fit statistics, standard error estimation, as
well as plausible value imputation and weighted likelihood
estimation of ability.
Adams, R. J., Wilson, M. & Wu, M. (1997).
Multilevel item response models: An approach to errors in
variables regression. Journal of Educational and Behavioral
Statistics, 22, 47-76.
Adams, R. J., & Wu, M. L. (2007). The mixed-coefficients multinomial logit model.
A generalized form of the Rasch model. In M. von Davier & C. H. Carstensen (Eds.):
Multivariate and mixture distribution Rasch models: Extensions and applications
(pp. 55-76). New York: Springer.