EM Algorithms for Estimating Item Response Theory Models

Various Expectation-Maximization (EM) algorithms are implemented for item response theory (IRT) models. The package includes IRT models for binary and ordinal responses, along with dynamic and hierarchical IRT models with binary responses. The latter two models are fitted using variational EM. The package also includes variational network and text scaling models. The algorithms are described in Imai, Lo, and Olmsted (2016) .


Reference manual

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install.packages("emIRT")

0.0.15 by Kosuke Imai, a year ago


Browse source code at https://github.com/cran/emIRT


Authors: Kosuke Imai [aut, cre] , James Lo [aut] , Jonathan Olmsted [aut]


Documentation:   PDF Manual  


GPL (>= 3) license


Depends on pscl, Rcpp

Suggests MCMCpack

Linking to Rcpp, RcppArmadillo


Imported by lpmec.


See at CRAN