mirt: Multidimensional Item Response Theory

Analysis of dichotomous and polytomous response data using unidimensional and multidimensional latent trait models under the Item Response Theory paradigm. Exploratory and confirmatory models can be estimated with quadrature (EM) or stochastic (MHRM) methods. Confirmatory bi-factor and two-tier analyses are available for modeling item testlets. Multiple group analysis and mixed effects designs also are available for detecting differential item functioning and modelling item and person covariates.

Version: 1.8
Depends: R (≥ 2.15), stats4, lattice, methods
Imports: GPArotation, Rcpp, sfsmisc, numDeriv
LinkingTo: Rcpp
Suggests: testthat, boot, latticeExtra, shiny, knitr, parallel, Rsolnp, alabama, sirt, mirtCAT
Published: 2015-01-22
Author: Phil Chalmers [aut, cre, cph], Joshua Pritikin [ctb], Alexander Robitzsch [ctb], Mateusz Zoltak [ctb]
Maintainer: Phil Chalmers <rphilip.chalmers at gmail.com>
BugReports: https://github.com/philchalmers/mirt/issues?state=open
License: GPL (≥ 3)
URL: https://github.com/philchalmers/mirt, https://github.com/philchalmers/mirt/wiki
NeedsCompilation: yes
Citation: mirt citation info
Materials: README NEWS
In views: Psychometrics
CRAN checks: mirt results


Reference manual: mirt.pdf
Vignettes: Online Vignettes
Package source: mirt_1.8.tar.gz
Windows binaries: r-devel: mirt_1.8.zip, r-release: mirt_1.8.zip, r-oldrel: mirt_1.8.zip
OS X Snow Leopard binaries: r-release: mirt_1.8.tgz, r-oldrel: mirt_1.8.tgz
OS X Mavericks binaries: r-release: mirt_1.8.tgz
Old sources: mirt archive

Reverse dependencies:

Reverse depends: mirtCAT, NominalLogisticBiplot, OrdinalLogisticBiplot, PerFit
Reverse imports: sirt, TAM
Reverse suggests: CDM, rpf