Bock1997                Description of Bock 1997 data
DIF                     Differential item functioning statistics
DRF                     Differential Response Functioning statistics
DTF                     Differential test functioning statistics
DiscreteClass-class     Class "DiscreteClass"
LSAT6                   Description of LSAT6 data
LSAT7                   Description of LSAT7 data
M2                      Compute the M2 model fit statistic
MDIFF                   Compute multidimensional difficulty index
MDISC                   Compute multidimensional discrimination index
MixedClass-class        Class "MixedClass"
MixtureClass-class      Class "MixtureClass"
MultipleGroupClass-class
                        Class "MultipleGroupClass"
PLCI.mirt               Compute profiled-likelihood (or posterior)
                        confidence intervals
SAT12                   Description of SAT12 data
SIBTEST                 Simultaneous Item Bias Test (SIBTEST)
Science                 Description of Science data
SingleGroupClass-class
                        Class "SingleGroupClass"
anova-method            Compare nested models with likelihood-based
                        statistics
areainfo                Function to calculate the area under a
                        selection of information curves
averageMI               Collapse values from multiple imputation draws
bfactor                 Full-Information Item Bi-factor and Two-Tier
                        Analysis
boot.LR                 Parametric bootstrap likelihood-ratio test
boot.mirt               Calculate bootstrapped standard errors for
                        estimated models
coef-method             Extract raw coefs from model object
createGroup             Create a user defined group-level object with
                        correct generic functions
createItem              Create a user defined item with correct generic
                        functions
deAyala                 Description of deAyala data
draw_parameters         Draw plausible parameter instantiations from a
                        given model
empirical_ES            Empirical effect sizes based on latent trait
                        estimates
empirical_plot          Function to generate empirical unidimensional
                        item and test plots
empirical_rxx           Function to calculate the empirical (marginal)
                        reliability
estfun.AllModelClass    Extract Empirical Estimating Functions
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
extract.mirt            Extract various elements from estimated model
                        objects
fixef                   Compute latent regression fixed effect expected
                        values
fscores                 Compute factor score estimates (a.k.a, ability
                        estimates, latent trait estimates, etc)
imputeMissing           Imputing plausible data for missing values
itemGAM                 Parametric smoothed regression lines for item
                        response probability functions
itemfit                 Item fit statistics
iteminfo                Function to calculate item information
itemplot                Displays item surface and information plots
key2binary              Score a test by converting response patterns to
                        binary data
lagrange                Lagrange test for freeing parameters
likert2int              Convert ordered Likert-scale responses
                        (character or factors) to integers
logLik-method           Extract log-likelihood
marginal_rxx            Function to calculate the marginal reliability
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 a data.frame
multipleGroup           Multiple Group Estimation
numerical_deriv         Compute numerical derivatives
personfit               Person fit statistics
plot-method             Plot various test-implied functions from models
poly2dich               Change polytomous items to dichotomous item
                        format
print-method            Print the model objects
print.mirt_df           Print generic for customized data.frame console
                        output
print.mirt_list         Print generic for customized list console
                        output
print.mirt_matrix       Print generic for customized matrix console
                        output
probtrace               Function to calculate probability trace lines
randef                  Compute posterior estimates of random effect
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
thetaComb               Create all possible combinations of vector
                        input
traditional2mirt        Convert traditional IRT metric into
                        slope-intercept form used in mirt
vcov-method             Extract parameter variance covariance matrix
wald                    Wald statistics for mirt models
