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 and test functioning as well as modelling item and person covariates. Finally, latent class models such as the DINA, DINO, multidimensional latent class, and several other discrete latent variable models are supported.

Version: 1.23
Depends: stats, R (≥ 3.1.0), stats4, lattice, methods
Imports: GPArotation, Rcpp, sfsmisc, mgcv, splines, numDeriv
LinkingTo: Rcpp, RcppArmadillo
Suggests: boot, latticeExtra, directlabels, shiny, knitr, Rsolnp, alabama, sirt, mirtCAT
Published: 2017-03-02
Author: Phil Chalmers [aut, cre, cph], Joshua Pritikin [ctb], Alexander Robitzsch [ctb], Mateusz Zoltak [ctb], KwonHyun Kim [ctb], Carl F. Falk [ctb], Adam Meade [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, https://groups.google.com/forum/#!forum/mirt-package
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_1.23.tar.gz
Windows binaries: r-devel: mirt_1.23.zip, r-release: mirt_1.23.zip, r-oldrel: mirt_1.23.zip
OS X Mavericks binaries: r-release: mirt_1.23.tgz, r-oldrel: mirt_1.23.tgz
Old sources: mirt archive

Reverse dependencies:

Reverse depends: lordif, mirtCAT, NominalLogisticBiplot, OrdinalLogisticBiplot, PerFit
Reverse imports: equateIRT, faoutlier, kequate, ShinyItemAnalysis, sirt
Reverse suggests: CDM, LSAmitR, rpf


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