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mirt (version 1.3)

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

1.3

License

GPL (>= 3)

Issues

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Maintainer

Phil Chalmers

Last Published

April 23rd, 2014

Functions in mirt (1.3)

coef-method

Extract raw coefs from model object
ExploratoryClass-class

Class "ExploratoryClass"
LSAT7

Description of LSAT7 data
Science

Description of Science data
mirt.model

Specify model loadings
expected.test

Function to calculate expected test score
ConfirmatoryClass-class

Class "ConfirmatoryClass"
randef

Compute random effects
mixedmirt

Mixed effects modeling for MIRT models
residuals-method

Compute model residuals
MultipleGroupClass-class

Class "MultipleGroupClass"
deAyala

Description of deAyala data
print-method

Print the model objects
fscores

Methods for Function fscores
PLCI.mirt

Compute profiled-likelihood confidence intervals
M2

Compute M2 statistic
mod2values

Convert an estimated mirt model to special data.frame
DIF

Differential item functioning tests
itemfit

Item fit statistics
personfit

Person fit statistics
expand.table

Expand summary table of patterns and frequencies
extract.item

Extract an item object from mirt objects
mirt

Full-Information Item Factor Analysis (Multidimensional Item Response Theory)
show-method

Show model object
read.mirt

Translate mirt parameters for plink package
mirtCluster

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

Function to calculate probability trace lines
anova-method

Compare nested models
MixedClass-class

Class "MixedClass"
createItem

Create a user defined item with correct generic functions
mirt-package

Full information maximum likelihood estimation of IRT models.
imputeMissing

Imputing plausible data for missing values
plot-method

Plot various test implied functions from models
boot.mirt

Calculate bootstrapped standard errors for estimated models
multipleGroup

Multiple Group Estimation
summary-method

Summary of model object
testinfo

Function to calculate test information
itemplot

Displays item surface and information plots
expected.item

Function to calculate expected value of item
SAT12

Description of SAT12 data
iteminfo

Function to calculate item information
simdata

Simulate response patterns
LSAT6

Description of LSAT6 data
calcLogLik

Monte Carlo Log-Likelihood Calculation
wald

Wald test for mirt models
Bock1997

Description of Bock 1997 data
bfactor

Full-Information Item Bi-factor and Two-Tier Analysis
key2binary

Convert response patterns to binary data