Package: mirt 1.46.8

mirt: Multidimensional Item Response Theory

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.

Authors:Phil Chalmers [aut, cre], 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], Samuel Huang [ctb]

mirt_1.46.8.tar.gz
mirt_1.46.8.zip(r-4.7)mirt_1.46.8.zip(r-4.6)mirt_1.46.8.zip(r-4.5)
mirt_1.46.8.tgz(r-4.6-x86_64)mirt_1.46.8.tgz(r-4.6-arm64)mirt_1.46.8.tgz(r-4.5-x86_64)mirt_1.46.8.tgz(r-4.5-arm64)
mirt_1.46.8.tar.gz(r-4.7-arm64)mirt_1.46.8.tar.gz(r-4.7-x86_64)mirt_1.46.8.tar.gz(r-4.6-arm64)mirt_1.46.8.tar.gz(r-4.6-x86_64)
mirt_1.46.8.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
mirt/json (API)

# Install 'mirt' in R:

install.packages('mirt', repos = c('https://philchalmers.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/philchalmers/mirt/issues

Pkgdown/docs site:https://philchalmers.github.io

Uses libs:

openblas– Optimized BLAS
c++– GNU Standard C++ Library v3
openmp– GCC OpenMP (GOMP) support library

Datasets:

ASVAB - Description of ASVAB data
Attitude - Description of Attitude data
Bock1997 - Description of Bock 1997 data
deAyala - Description of deAyala data
LSAT6 - Description of LSAT6 data
LSAT7 - Description of LSAT7 data
SAT12 - Description of SAT12 data
Science - Description of Science data
SLF - Social Life Feelings Data

On CRAN:

irt mirt openblas cpp openmp

15.07 score 232 stars 48 packages 2.7k scripts 11k downloads 81 mentions 72 exports 71 dependencies

Last updated from:14bbb3780e. Checks:13 OK. Indexed: yes.

Target	Result	Time
linux-devel-arm64	OK	254
linux-devel-x86_64	OK	321
source / vignettes	OK	370
linux-release-arm64	OK	265
linux-release-x86_64	OK	309
macos-release-arm64	OK	177
macos-release-x86_64	OK	428
macos-oldrel-arm64	OK	174
macos-oldrel-x86_64	OK	405
windows-devel	OK	244
windows-release	OK	239
windows-oldrel	OK	243
wasm-release	OK	186

Exports:anova areainfo averageMI bfactor boot.LR boot.mirt coef createGroup createItem DeltaMethod DIF draw_parameters DRF DTF 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 itemfit itemGAM iteminfo itemplot itemstats key2binary lagrange likert2int logLik M2 marginal_moments marginal_rxx MDIFF mdirt MDISC mirt mirt.model mirtCluster mixedmirt mod2values multipleGroup numerical_deriv personfit PLCI.mirt plot poly2dich probtrace randef RCI read.mirt remap.distance residuals reverse.score RMSD_DIF secondOrderTest SIBTEST simdata summary testinfo thetaComb traditional2mirt vcov wald

Dependencies:audio beepr brio callr class cli clipr cluster codetools crayon dcurver Deriv desc diffobj digest dplyr e1071 evaluate fs future future.apply generics globals glue GPArotation gridExtra gtable jsonlite lattice lifecycle listenv magrittr MASS Matrix mgcv nlme otel parallelly pbapply permute pillar pkgbuild pkgconfig pkgload praise processx progressr proxy ps qs2 R.methodsS3 R.oo R.utils R6 Rcpp RcppArmadillo RcppParallel rlang rprojroot sessioninfo SimDesign splines2 stringfish testthat tibble tidyselect utf8 vctrs vegan waldo withr

Online Vignettes

mirt Vignette Files

Rendered frommirt-vignettes.Rmdusingknitr::knitr

Last update: 2015-01-15
Started: 2014-06-21

Help page	Topics
Full information maximum likelihood estimation of IRT models.	mirt-package
Compare nested models with likelihood-based statistics	anova,DiscreteClass-method anova,MixedClass-method anova,MixtureClass-method anova,MultipleGroupClass-method anova,SingleGroupClass-method anova-method
Function to calculate the area under a selection of information curves	areainfo
Description of ASVAB data	ASVAB
Description of Attitude data	Attitude
Collapse values from multiple imputation draws	averageMI
Full-Information Item Bi-factor and Two-Tier Analysis	bfactor
Description of Bock 1997 data	Bock1997
Parametric bootstrap likelihood-ratio test	boot.LR
Calculate bootstrapped standard errors for estimated models	boot.mirt
Extract raw coefs from model object	coef,DiscreteClass-method coef,MixedClass-method coef,MixtureClass-method coef,MultipleGroupClass-method coef,SingleGroupClass-method coef-method
Create a user defined group-level object with correct generic functions	createGroup
Create a user defined item with correct generic functions	createItem
Description of deAyala data	deAyala
Numerical derivative version of delta method	DeltaMethod
Differential item functioning statistics	DIF
Class "DiscreteClass"	DiscreteClass-class
Draw plausible parameter instantiations from a given model	draw_parameters
Differential Response Functioning statistics	DRF
Differential test functioning statistics	DTF
Empirical effect sizes based on latent trait estimates	empirical_ES
Function to generate empirical unidimensional item and test plots	empirical_plot
Function to calculate the empirical (marginal) reliability	empirical_rxx
Extract Empirical Estimating Functions	estfun.AllModelClass
Expand summary table of patterns and frequencies	expand.table
Function to calculate expected value of item	expected.item
Function to calculate expected test score	expected.test
Extract a group from a multiple group mirt object	extract.group
Extract an item object from 'mirt' objects	extract.item
Extract various elements from estimated model objects	extract.mirt
Fixed-item calibration method	fixedCalib
Compute latent regression fixed effect expected values	fixef
Compute factor score estimates (a.k.a, ability estimates, latent trait estimates, etc)	fscores
Generalized item difficulty summaries	gen.difficulty
Head generic for customized matrix console output	head.mirt_matrix
Imputing plausible data for missing values	imputeMissing
Item fit statistics	itemfit
Parametric smoothed regression lines for item response probability functions	itemGAM plot.itemGAM
Function to calculate item information	iteminfo
Displays item surface and information plots	itemplot
Generic item summary statistics	itemstats
Score a test by converting response patterns to binary data	key2binary
Lagrange test for freeing parameters	lagrange
Convert ordered Likert-scale responses (character or factors) to integers	likert2int
Extract log-likelihood	logLik,DiscreteClass-method logLik,MixedClass-method logLik,MixtureClass-method logLik,MultipleGroupClass-method logLik,SingleGroupClass-method logLik-method
Description of LSAT6 data	LSAT6
Description of LSAT7 data	LSAT7
Compute the M2 model fit statistic	M2
Function to calculate the marginal moments for items and bundles fit via IRT models	marginal_moments
Function to calculate the marginal reliability	marginal_rxx
Compute multidimensional difficulty index	MDIFF
Multidimensional discrete item response theory	mdirt
Compute multidimensional discrimination index	MDISC
Full-Information Item Factor Analysis (Multidimensional Item Response Theory)	mirt
Specify model information	mirt.model
Define a parallel cluster object to be used in internal functions	mirtCluster
Class "MixedClass"	MixedClass-class
Mixed effects modeling for MIRT models	mixedmirt
Class "MixtureClass"	MixtureClass-class
Convert an estimated mirt model to a data.frame	mod2values
Multiple Group Estimation	multipleGroup
Class "MultipleGroupClass"	MultipleGroupClass-class
Compute numerical derivatives	numerical_deriv
Person fit statistics	personfit
Compute profiled-likelihood (or posterior) confidence intervals	PLCI.mirt
Plot various test-implied functions from models	plot,DiscreteClass,missing-method plot,MixtureClass,missing-method plot,MultipleGroupClass,missing-method plot,MultipleGroupClass-method plot,SingleGroupClass,missing-method plot,SingleGroupClass-method plot-method
Change polytomous items to dichotomous item format	poly2dich
Print the model objects	print,DiscreteClass-method print,MixedClass-method print,MixtureClass-method print,MultipleGroupClass-method print,SingleGroupClass-method print-method
Print generic for customized data.frame console output	print.mirt_df
Print generic for customized list console output	print.mirt_list
Print generic for customized matrix console output	print.matrix print.mirt_matrix
Function to calculate probability trace lines	probtrace
Compute posterior estimates of random effect	randef
Model-based Reliable Change Index	RCI
Translate mirt parameters into suitable structure for plink package	read.mirt
Remap item categories to have integer distances of 1	remap.distance
Compute model residuals	residuals,DiscreteClass-method residuals,MixtureClass-method residuals,MultipleGroupClass-method residuals,SingleGroupClass-method residuals-method
Reverse score one or more items from a response matrix	reverse.score
RMSD effect size statistic to quantify category-level DIF	RMSD_DIF
Description of SAT12 data	SAT12
Description of Science data	Science
Second-order test of convergence	secondOrderTest
Show model object	show,DiscreteClass-method show,MixedClass-method show,MixtureClass-method show,MultipleGroupClass-method show,SingleGroupClass-method show-method
(Generalized) Simultaneous Item Bias Test (SIBTEST)	SIBTEST
Simulate response patterns	simdata
Class "SingleGroupClass"	SingleGroupClass-class
Social Life Feelings Data	SLF
Summary of model object	summary,DiscreteClass-method summary,MixedClass-method summary,MixtureClass-method summary,MultipleGroupClass-method summary,SingleGroupClass-method summary-method
Tail generic for customized matrix console output	tail.mirt_matrix
Function to calculate test information	testinfo
Create all possible combinations of vector input	thetaComb
Convert traditional IRT metric into slope-intercept form used in mirt	traditional2mirt
Extract parameter variance covariance matrix	vcov,DiscreteClass-method vcov,MixedClass-method vcov,MixtureClass-method vcov,MultipleGroupClass-method vcov,SingleGroupClass-method vcov-method
Wald statistics for mirt models	wald

Package: mirt 1.46.8

mirt: Multidimensional Item Response Theory

Citation

Development and contributors

Readme and manuals

Help Manual

Usage by other packages (reverse dependencies)