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mirt (version 1.0)

Multidimensional Item Response Theory

Description

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.

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Install

install.packages('mirt')

Monthly Downloads

7,762

Version

1.0

License

GPL (>= 2)

Issues

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Maintainer

Phil Chalmers

Last Published

November 1st, 2013

Functions in mirt (1.0)

MultipleGroupClass-class

Class "MultipleGroupClass"
bfactor

Full-Information Item Bi-factor and Two-Tier Analysis
deAyala

Description of deAyala data
calcLogLik

Monte Carlo Log-Likelihood Calculation
mirtCluster

Define a parallel cluster object to be used in internal functions
fscores

Methods for Function fscores
itemfit

Item fit statistics
imputeMissing

Imputing plausible data for missing values
ExploratoryClass-class

Class "ExploratoryClass"
LSAT6

Description of LSAT6 data
createItem

Create a user defined item with correct generic functions
key2binary

Convert response patterns to binary data
wald

Wald test for mirt models
Science

Description of Science data
ConfirmatoryClass-class

Class "ConfirmatoryClass"
MixedClass-class

Class "MixedClass"
mixedmirt

Mixed effects modeling for MIRT models
mod2values

Convert an estimated mirt model to special data.frame
multipleGroup

Multiple Group Estimation
expand.table

Expand summary table of patterns and frequencies
Bock1997

Description of Bock 1997 data
extract.item

Extract an item object from mirt objects
PLCI.mirt

Compute profiled-likelihood confidence intervals
mirt-package

Full information maximum likelihood estimation of IRT models.
probtrace

Function to calculate probability trace lines
iteminfo

Function to calculate item information
randef

Compute random effects
itemplot

Displays item surface and information plots
mirt.model

Specify model loadings
expected.item

Function to calculate expected value of item
SAT12

Description of SAT12 data
testinfo

Function to calculate test information
simdata

Simulate response patterns
LSAT7

Description of LSAT7 data
boot.mirt

Calculate bootstrapped standard errors for estimated models
fitIndices

Compute Extra Model Fit Indices
mirt

Full-Information Item Factor Analysis (Multidimensional Item Response Theory)
personfit

Person fit statistics