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.

Version: 0.0.5
Depends: R (≥ 2.10), pscl (≥ 1.0.0), Rcpp (≥ 0.10.6)
LinkingTo: Rcpp, RcppArmadillo
Published: 2015-03-01
Author: Kosuke Imai, James Lo, Jonathan Olmsted
Maintainer: James Lo <jameslo at princeton.edu>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
CRAN checks: emIRT results

Downloads:

Reference manual: emIRT.pdf
Package source: emIRT_0.0.5.tar.gz
Windows binaries: r-devel: emIRT_0.0.5.zip, r-release: emIRT_0.0.5.zip, r-oldrel: emIRT_0.0.5.zip
OS X Snow Leopard binaries: r-release: emIRT_0.0.5.tgz, r-oldrel: emIRT_0.0.5.tgz
OS X Mavericks binaries: r-release: emIRT_0.0.5.tgz