Multidimensional Item Response Theory


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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