Multidimensional Item Response Theory

Documentation for package ‘mirt’ version 1.9

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mirt-package	Full information maximum likelihood estimation of IRT models.
anova-method	Compare nested models
averageMI	Collapse values from multiple imputation draws
bfactor	Full-Information Item Bi-factor and Two-Tier Analysis
Bock1997	Description of Bock 1997 data
boot.mirt	Calculate bootstrapped standard errors for estimated models
coef-method	Extract raw coefs from model object
createItem	Create a user defined item with correct generic functions
deAyala	Description of deAyala data
DIF	Differential item functioning tests
DiscreteClass-class	Class "DiscreteClass"
DTF	Differential test functioning
expand.table	Expand summary table of patterns and frequencies
expected.item	Function to calculate expected value of item
expected.test	Function to calculate expected test score
extract.group	Extract a group from a multiple group mirt object
extract.item	Extract an item object from mirt objects
fixef	Compute latent regression fixed effects
fscores	Methods for Function fscores
imputeMissing	Imputing plausible data for missing values
itemfit	Item fit statistics
iteminfo	Function to calculate item information
itemplot	Displays item surface and information plots
key2binary	Convert response patterns to binary data
LSAT6	Description of LSAT6 data
LSAT7	Description of LSAT7 data
M2	Compute M2 statistic
mdirt	Multidimensional discrete item response theory
mirt	Full-Information Item Factor Analysis (Multidimensional Item Response Theory)
mirt.model	Specify model loadings
mirtCluster	Define a parallel cluster object to be used in internal functions
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
MultipleGroupClass-class	Class "MultipleGroupClass"
personfit	Person fit statistics
PLCI.mirt	Compute profiled-likelihood confidence intervals
plot-method	Plot various test implied functions from models
print-method	Print the model objects
probtrace	Function to calculate probability trace lines
randef	Compute random effects
residuals-method	Compute model residuals
SAT12	Description of SAT12 data
Science	Description of Science data
show-method	Show model object
simdata	Simulate response patterns
SingleGroupClass-class	Class "SingleGroupClass"
summary-method	Summary of model object
testinfo	Function to calculate test information
wald	Wald test for mirt models