Package: emIRT
Type: Package
Title: EM Algorithms for Estimating Item Response Theory Models
Version: 0.0.11
Date: 2020-02-01
Author: Kosuke Imai <kimai@princeton.edu>, James Lo <lojames@usc.edu>, Jonathan Olmsted <jpolmsted@gmail.com>
Maintainer: James Lo <lojames@usc.edu>
Description: 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.  Subsequent edits
				also include variational network and text scaling models.
License: GPL (>= 3)
Depends: R (>= 2.10), pscl (>= 1.0.0), Rcpp (>= 0.10.6)
LinkingTo: Rcpp, RcppArmadillo
NeedsCompilation: yes
Packaged: 2020-02-04 00:43:08 UTC; jameslo
Repository: CRAN
Date/Publication: 2020-02-04 06:20:02 UTC
Built: R 4.1.0; x86_64-w64-mingw32; 2020-08-03 06:34:41 UTC; windows
Archs: i386, x64
