| anova-method | Compare nested models with likelihood-based statistics |
| areainfo | Function to calculate the area under a selection of... |
| ASVAB | Description of ASVAB data |
| averageMI | Collapse values from multiple imputation draws |
| bfactor | Full-Information Item Bi-factor and Two-Tier Analysis |
| Bock1997 | Description of Bock 1997 data |
| 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... |
| createItem | Create a user defined item with correct generic functions |
| deAyala | Description of deAyala data |
| DIF | Differential item functioning statistics |
| DiscreteClass-class | Class "DiscreteClass" |
| draw_parameters | Draw plausible parameter instantiations from a given model |
| DRF | Differential Response Functioning statistics |
| DTF | Differential test functioning statistics |
| empirical_ES | Empirical effect sizes based on latent trait estimates |
| empirical_plot | Function to generate empirical unidimensional item and test... |
| 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 |
| fixedCalib | Fixed-item calibration method |
| fixef | Compute latent regression fixed effect expected values |
| fscores | Compute factor score estimates (a.k.a, ability estimates,... |
| gen.difficulty | Generalized item difficulty summaries |
| imputeMissing | Imputing plausible data for missing values |
| itemfit | Item fit statistics |
| itemGAM | Parametric smoothed regression lines for item response... |
| iteminfo | Function to calculate item information |
| itemplot | Displays item surface and information plots |
| itemstats | Generic item summary statistics |
| 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)... |
| logLik-method | Extract log-likelihood |
| LSAT6 | Description of LSAT6 data |
| LSAT7 | Description of LSAT7 data |
| M2 | Compute the M2 model fit statistic |
| marginal_rxx | Function to calculate the marginal reliability |
| MDIFF | Compute multidimensional difficulty index |
| mdirt | Multidimensional discrete item response theory |
| MDISC | Compute multidimensional discrimination index |
| mirt | Full-Information Item Factor Analysis (Multidimensional Item... |
| mirtCluster | Define a parallel cluster object to be used in internal... |
| mirt.model | Specify model information |
| mirt-package | Full information maximum likelihood estimation of IRT models. |
| MixedClass-class | Class "MixedClass" |
| mixedmirt | Mixed effects modeling for MIRT models |
| MixtureClass-class | Class "MixtureClass" |
| mod2values | Convert an estimated mirt model to a data.frame |
| multipleGroup | Multiple Group Estimation |
| MultipleGroupClass-class | Class "MultipleGroupClass" |
| numerical_deriv | Compute numerical derivatives |
| personfit | Person fit statistics |
| PLCI.mirt | Compute profiled-likelihood (or posterior) confidence... |
| 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 |
| RCI | Model-based Reliable Change Index |
| read.mirt | Translate mirt parameters into suitable structure for plink... |
| remap.distance | Remap item categories to have integer distances of 1 |
| residuals-method | Compute model residuals |
| reverse.score | Reverse score one or more items from a response matrix |
| RMSD_DIF | RMSD effect size statistic to quantify category-level DIF |
| SAT12 | Description of SAT12 data |
| Science | Description of Science data |
| secondOrderTest | Second-order test of convergence |
| show-method | Show model object |
| SIBTEST | (Generalized) Simultaneous Item Bias Test (SIBTEST) |
| simdata | Simulate response patterns |
| SingleGroupClass-class | Class "SingleGroupClass" |
| SLF | Social Life Feelings Data |
| 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... |
| vcov-method | Extract parameter variance covariance matrix |
| wald | Wald statistics for mirt models |
