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mirt (version 1.6.1)

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

1.6.1

License

GPL (>= 3)

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Maintainer

Phil Chalmers

Last Published

October 10th, 2014

Functions in mirt (1.6.1)

DTF

Differential test functioning
personfit

Person fit statistics
mdirt

Multidimensional discrete item response theory
extract.item

Extract an item object from mirt objects
fscores

Methods for Function fscores
LSAT6

Description of LSAT6 data
iteminfo

Function to calculate item information
itemplot

Displays item surface and information plots
mirt.model

Specify model loadings
M2

Compute M2 statistic
DiscreteClass-class

Class "DiscreteClass"
imputeMissing

Imputing plausible data for missing values
mod2values

Convert an estimated mirt model to special data.frame
MixedClass-class

Class "MixedClass"
mirt-package

Full information maximum likelihood estimation of IRT models.
multipleGroup

Multiple Group Estimation
anova-method

Compare nested models
boot.mirt

Calculate bootstrapped standard errors for estimated models
probtrace

Function to calculate probability trace lines
summary-method

Summary of model object
ExploratoryClass-class

Class "ExploratoryClass"
simdata

Simulate response patterns
deAyala

Description of deAyala data
coef-method

Extract raw coefs from model object
LSAT7

Description of LSAT7 data
MultipleGroupClass-class

Class "MultipleGroupClass"
residuals-method

Compute model residuals
randef

Compute random effects
plot-method

Plot various test implied functions from models
extract.group

Extract a group from a multiple group mirt object
expand.table

Expand summary table of patterns and frequencies
mirt

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

Differential item functioning tests
mirtCluster

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

Function to calculate test information
show-method

Show model object
mixedmirt

Mixed effects modeling for MIRT models
bfactor

Full-Information Item Bi-factor and Two-Tier Analysis
SAT12

Description of SAT12 data
key2binary

Convert response patterns to binary data
PLCI.mirt

Compute profiled-likelihood confidence intervals
Science

Description of Science data
wald

Wald test for mirt models
Bock1997

Description of Bock 1997 data
itemfit

Item fit statistics
expected.item

Function to calculate expected value of item
expected.test

Function to calculate expected test score
print-method

Print the model objects
ConfirmatoryClass-class

Class "ConfirmatoryClass"
createItem

Create a user defined item with correct generic functions