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: |
1.14 |
| Depends: |
stats, R (≥ 3.1.0), stats4, lattice, methods |
| Imports: |
GPArotation, Rcpp, sfsmisc, mgcv, numDeriv |
| LinkingTo: |
Rcpp, RcppArmadillo |
| Suggests: |
boot, latticeExtra, directlabels, shiny, knitr, Rsolnp, alabama, sirt, mirtCAT |
| Published: |
2015-11-19 |
| 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 |