Bock1997                Description of Bock 1997 data
DIF                     Differential item functioning tests
DTF                     Differential test functioning
DiscreteClass-class     Class "DiscreteClass"
LSAT6                   Description of LSAT6 data
LSAT7                   Description of LSAT7 data
M2                      Compute M2 statistic
MixedClass-class        Class "MixedClass"
MultipleGroupClass-class
                        Class "MultipleGroupClass"
PLCI.mirt               Compute profiled-likelihood confidence
                        intervals
SAT12                   Description of SAT12 data
Science                 Description of Science data
SingleGroupClass-class
                        Class "SingleGroupClass"
anova-method            Compare nested models
averageMI               Collapse values from multiple imputation draws
bfactor                 Full-Information Item Bi-factor and Two-Tier
                        Analysis
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
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
mdirt                   Multidimensional discrete item response theory
mirt                    Full-Information Item Factor Analysis
                        (Multidimensional Item Response Theory)
mirt-package            Full information maximum likelihood estimation
                        of IRT models.
mirt.model              Specify model loadings
mirtCluster             Define a parallel cluster object to be used in
                        internal functions
mixedmirt               Mixed effects modeling for MIRT models
mod2values              Convert an estimated mirt model to special
                        data.frame
multipleGroup           Multiple Group Estimation
personfit               Person fit statistics
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
show-method             Show model object
simdata                 Simulate response patterns
summary-method          Summary of model object
testinfo                Function to calculate test information
wald                    Wald test for mirt models
