``emIRT: EM Algorithms for Estimating Item Response Theory Models.''



Various Expectation-Maximization (EM) algorithms are implemented for item response theory (IRT) models. The current implementation includes IRT models for binary and ordinal responses, along with dynamic and hierarchical IRT models with binary responses. The latter two models are derived and implemented using variational EM. The EM algorithms are derived by Imai, Lo, and Olmsted (2015).

  Current Version

The current version is 0.0.5 (built on 3/1/15). The source code and the documentation are available for download from The Comprehensive R Archive Network (CRAN).


Regardless of one's operating system, the software can be installed by typing the following command at R prompt:

> install.packages("emIRT")

This will install the latest version from CRAN.

© Kosuke Imai
Last modified: Tue Mar 3 20:07:17 EST 2015