kosukeimai/emIRT: 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) <DOI:10.1017/S000305541600037X>.

Getting started

Package details

AuthorKosuke Imai <imai@harvard.edu>, James Lo <lojames@usc.edu>, Jonathan Olmsted <jpolmsted@gmail.com>
MaintainerJames Lo <lojames@usc.edu>
LicenseGPL (>= 3)
Version0.0.13
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("kosukeimai/emIRT")
kosukeimai/emIRT documentation built on Feb. 19, 2022, 7:14 p.m.