Package: mirt
Version: 1.45.1
Type: Package
Title: Multidimensional Item Response Theory
Authors@R: c( person("Phil", family="Chalmers", email =
                     "rphilip.chalmers@gmail.com", role = c("aut", "cre"), 
                     comment = c(ORCID="0000-0001-5332-2810")),
    person("Joshua", family="Pritikin", role=c('ctb')),
    person("Alexander", family="Robitzsch", role=c('ctb')),
    person("Mateusz", family="Zoltak", role=c('ctb')),
    person("KwonHyun", family="Kim", role=c('ctb')),
    person("Carl F.", family="Falk", role=c('ctb')),
    person("Adam", family="Meade", role=c('ctb')),
    person("Lennart", family="Schneider", role=c('ctb')),
    person("David", family="King", role=c('ctb')),
    person("Chen-Wei", family="Liu", role=c('ctb')),
    person("Ogreden", family="Oguzhan", role=c('ctb')))
Description: Analysis of discrete response data using
    unidimensional and multidimensional item analysis models under the Item
    Response Theory paradigm (Chalmers (2012) <doi:10.18637/jss.v048.i06>). 
    Exploratory and confirmatory item factor analysis models
	are estimated with quadrature (EM) or stochastic (MHRM) methods. Confirmatory
    bi-factor and two-tier models are available for modeling item testlets using
	dimension reduction EM algorithms, while multiple group analyses and 
	mixed effects designs are included for detecting differential item, bundle, 
	and test functioning, and for modeling item and person covariates. 
	Finally, latent class models such as the DINA, DINO, multidimensional latent class, 
	mixture IRT models, and zero-inflated response models are supported, as well 
	as a wide family of probabilistic unfolding models.
VignetteBuilder: knitr
Depends: stats, R (>= 4.1.0), stats4, lattice, methods
Imports: GPArotation, gridExtra, Matrix (>= 1.5-0), Rcpp, mgcv, vegan,
        Deriv, splines, pbapply (>= 1.3-0), dcurver, SimDesign
Suggests: boot, latticeExtra, directlabels, shiny, knitr, markdown,
        Rsolnp, nloptr, sirt, plink, mirtCAT, testthat (>= 3.0.0)
ByteCompile: yes
LazyLoad: yes
LazyData: yes
LinkingTo: Rcpp, RcppArmadillo
License: GPL (>= 3)
Encoding: UTF-8
Repository: CRAN
Maintainer: Phil Chalmers <rphilip.chalmers@gmail.com>
URL: https://philchalmers.github.io/mirt/,
        https://github.com/philchalmers/mirt/wiki,
        https://groups.google.com/forum/#!forum/mirt-package
BugReports: https://github.com/philchalmers/mirt/issues?state=open
RoxygenNote: 7.3.2
Config/testthat/edition: 3
NeedsCompilation: yes
Packaged: 2025-09-05 22:46:38 UTC; phil
Author: Phil Chalmers [aut, cre] (ORCID:
    <https://orcid.org/0000-0001-5332-2810>),
  Joshua Pritikin [ctb],
  Alexander Robitzsch [ctb],
  Mateusz Zoltak [ctb],
  KwonHyun Kim [ctb],
  Carl F. Falk [ctb],
  Adam Meade [ctb],
  Lennart Schneider [ctb],
  David King [ctb],
  Chen-Wei Liu [ctb],
  Ogreden Oguzhan [ctb]
Date/Publication: 2025-09-06 05:11:46 UTC
Built: R 4.4.3; x86_64-w64-mingw32; 2025-12-03 04:51:02 UTC; windows
Archs: x64
