Package: emIRT
Type: Package
Title: EM Algorithms for Estimating Item Response Theory Models
Version: 0.0.15
Date: 2025-09-23
Authors@R: c(person(given = "Kosuke",
                        family = "Imai",
                        role = c("aut", "cre"),
                        email = "imai@harvard.edu"),
                 person(given = "James",
                        family = "Lo",
                        role = "aut",
                        email = "jameslo989@gmail.com"),
                 person(given = "Jonathan",
                        family = "Olmsted",
                        role = "aut",
                        email = "jpolmsted@gmail.com"))
Maintainer: Kosuke Imai <imai@harvard.edu>
Description: 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) <DOI:10.1017/S000305541600037X>.
License: GPL (>= 3)
Depends: R (>= 2.10), pscl (>= 1.0.0), Rcpp (>= 0.10.6)
Suggests: MCMCpack
LinkingTo: Rcpp, RcppArmadillo
NeedsCompilation: yes
Repository: https://kosukeimai.r-universe.dev
Date/Publication: 2025-09-23 20:29:05 UTC
RemoteUrl: https://github.com/kosukeimai/emirt
RemoteRef: HEAD
RemoteSha: 87b4f898bd0a5167a987cdea95db9651d42d1e28
Packaged: 2026-06-23 08:20:48 UTC; root
Author: Kosuke Imai [aut, cre],
  James Lo [aut],
  Jonathan Olmsted [aut]