Other packages > Find by keyword >

mirt  

Multidimensional Item Response Theory
View on CRAN: Click here


Download and install mirt package within the R console
Install from CRAN:
install.packages("mirt")

Install from Github:
library("remotes")
install_github("cran/mirt")

Install by package version:
library("remotes")
install_version("mirt", "1.45.1")



Attach the package and use:
library("mirt")
Maintained by
Phil Chalmers
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2011-07-02
Latest Update: 2025-01-28
Description:
Analysis of discrete response data using unidimensional and multidimensional item analysis models under the Item Response Theory paradigm (Chalmers (2012) ). 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, and zero-inflated response models are supported.
How to cite:
Phil Chalmers (2011). mirt: Multidimensional Item Response Theory. R package version 1.45.1, https://cran.r-project.org/web/packages/mirt. Accessed 26 Aug. 2026.
Previous versions and publish date:
(2026-08-20 11:12), 0.1-13 (2011-07-02 19:11), 0.1-14 (2011-07-23 15:57), 0.1-15 (2011-08-08 19:47), 0.1-16 (2011-09-15 07:57), 0.1-17 (2011-10-12 09:56), 0.1-18 (2011-10-14 08:42), 0.1-19 (2011-11-24 10:13), 0.1-20 (2012-02-04 09:39), 0.2.0 (2012-02-15 09:30), 0.2.1 (2012-04-06 06:42), 0.2.3 (2012-05-02 08:10), 0.2.4 (2012-05-10 00:44), 0.2.5 (2012-06-07 08:05), 0.2.6 (2012-07-15 19:12), 0.3.0 (2012-08-23 08:05), 0.4.0 (2012-09-22 20:13), 0.4.1 (2012-10-23 18:45), 0.4.2 (2012-11-25 09:09), 0.5.0 (2013-01-17 22:21), 0.6.0 (2013-03-19 07:15), 0.7.0 (2013-04-21 07:42), 0.8.0 (2013-07-02 11:19), 0.9.0 (2013-08-31 06:06), 1.0 (2013-11-01 17:35), 1.1 (2013-12-20 08:03), 1.2.1 (2014-02-21 08:11), 1.2 (2014-02-20 21:24), 1.3 (2014-04-23 19:54), 1.4 (2014-06-22 23:46), 1.5 (2014-08-14 18:56), 1.6.1 (2014-10-10 21:56), 1.7 (2014-12-15 15:24), 1.8 (2015-01-22 22:34), 1.9 (2015-03-29 08:43), 1.10 (2015-06-16 00:34), 1.13 (2015-09-10 00:31), 1.14 (2015-11-19 23:35), 1.15 (2016-01-21 17:03), 1.16 (2016-03-07 07:59), 1.17.1 (2016-04-27 19:00), 1.17 (2016-04-27 13:31), 1.18 (2016-06-24 09:53), 1.19 (2016-08-18 23:27), 1.20.1 (2016-10-05 16:36), 1.21 (2016-12-01 08:28), 1.22 (2017-02-01 01:03), 1.23 (2017-03-02 23:54), 1.24 (2017-05-04 09:53), 1.25 (2017-07-23 19:33), 1.26.1 (2017-11-27 09:52), 1.26.3 (2017-11-30 00:53), 1.27.1 (2018-03-16 18:09), 1.28 (2018-05-20 05:37), 1.29 (2018-08-12 06:40), 1.30 (2019-01-29 10:10), 1.31 (2019-09-15 02:10), 1.32.1 (2020-04-25 16:50), 1.32 (2020-04-24 07:20), 1.33.2 (2020-10-31 21:10), 1.34 (2021-06-28 23:10), 1.35.1 (2021-12-09 00:10), 1.36.1 (2022-03-22 10:00), 1.36 (2022-03-21 16:20), 1.37.1 (2022-08-10 17:30), 1.38.1 (2023-02-28 04:52), 1.39 (2023-05-30 06:30), 1.40 (2023-08-10 17:40), 1.41 (2023-10-17 17:50), 1.42 (2024-07-14 06:30), 1.43 (2024-11-14 09:50), 1.44.0 (2025-01-28 22:50), 1.45.1 (2025-09-06 07:11), 1.46.1 (2026-03-07 07:10)
Other packages that cited mirt R package
View mirt citation profile
Other R packages that mirt depends, imports, suggests or enhances
Complete documentation for mirt
Functions, R codes and Examples using the mirt R package
Some associated functions: Bock1997 . DIF . DRF . DTF . DiscreteClass-class . LSAT6 . LSAT7 . M2 . MDIFF . MDISC . MixedClass-class . MixtureClass-class . MultipleGroupClass-class . PLCI.mirt . RCI . RMSD_DIF . SAT12 . SIBTEST . SLF . Science . SingleGroupClass-class . anova-method . areainfo . averageMI . bfactor . boot.LR . boot.mirt . coef-method . createGroup . createItem . deAyala . draw_parameters . empirical_ES . empirical_plot . empirical_rxx . estfun.AllModelClass . expand.table . expected.item . expected.test . extract.group . extract.item . extract.mirt . fixedCalib . fixef . fscores . gen.difficulty . imputeMissing . itemGAM . itemfit . iteminfo . itemplot . itemstats . key2binary . lagrange . likert2int . logLik-method . marginal_rxx . mdirt . mirt-package . mirt.model . mirt . mirtCluster . mixedmirt . mod2values . multipleGroup . numerical_deriv . personfit . plot-method . poly2dich . print-method . print.mirt_df . print.mirt_list . print.mirt_matrix . probtrace . randef . read.mirt . remap.distance . residuals-method . show-method . simdata . summary-method . testinfo . thetaComb . traditional2mirt . vcov-method . wald . 
Some associated R codes: 00-classes.R . 01-itemclass.R . 02a-general_methods.R . 02b-item_methods.R . 03-estimation.R . 04-PrepData.R . 05-model.elements.R . 06-LoadPars.R . 07-calcLogLik.R . 08-SE.methods.R . DIF.R . DRF.R . DTF.R . Discrete-methods.R . EMstep.group.R . EMstep.utils.R . M2.R . MDIFF.R . MDISC.R . MHRM.group.R . MHRM.utils.R . Mixed-methods.R . Mixture-methods.R . MultipleGroup-methods.R . PLCI.mirt.R . RCI.R . RMSD_DIF.R . SIBTEST.R . SingleGroup-methods.R . areainfo.R . averageMI.R . bfactor.R . boot.LR.R . boot.mirt.R . createGroup.R . createItem.R . empirical_ES.R . empirical_plot.R . empirical_rxx.R . estfun.R . expand.table.R . expected.item.R . expected.test.R . extract.group.R . extract.item.R . extract.mirt.R . fixedCalib.R . fixef.R . fscores.R . fscores.internal.R . gen.difficulty.R . imputeMissing.R . interp_exterp.R . itemGAM.R . itemfit.R . iteminfo.R . itemplot.R . itemplot.internal.R . itemstats.R . key2binary.R . lagrange.R . likert2int.R . marginal_rxx.R . mdirt.R . mirt-package.R . mirt.R . mirt.model.R . mirtCluster.R . mixedmirt.R . mod2values.R . multipleGroup.R . numerical_deriv.R . personfit.R . poly2dich.R . probtrace.R . randef.R . read.mirt.R . remap.distance.R . shinyItemplot.R . simdata.R . testinfo.R . utils.R . wald.R .  Full mirt package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  
ncodeR  
Techniques for Automated Classifiers
A set of techniques that can be used to develop, validate, and implement automated classifiers. A po ...
Download / Learn more Package Citations See dependency  
SelvarMix  
Regularization for Variable Selection in Model-Based Clustering and Discriminant Analysis
Performs a regularization approach to variable selection in themodel-based clustering and classifica ...
Download / Learn more Package Citations See dependency  
RCytoGPS  
Using Cytogenetics Data in R
Defines classes and methods to process text-based cytogenetics using the CytoGPS web site, then imp ...
Download / Learn more Package Citations See dependency  
PCADSC  
Tools for Principal Component Analysis-Based Data Structure Comparisons
A suite of non-parametric, visual tools for assessing differences in data structures for two datase ...
Download / Learn more Package Citations See dependency  
clinUtils  
General Utility Functions for Analysis of Clinical Data
Utility functions to facilitate the import, the reporting and analysis of clinical data. Example ...
Download / Learn more Package Citations See dependency  

28,332

R Packages

239,283

Dependencies

75,113

Author Associations

28,333

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA