| Full information maximum likelihood estimation of IRT models. | mirt-package |
| Compare nested models with likelihood-based statistics | anova,DiscreteClass-method anova,MixedClass-method anova,MixtureClass-method anova,MultipleGroupClass-method anova,SingleGroupClass-method anova-method |
| Function to calculate the area under a selection of information curves | areainfo |
| Description of ASVAB data | ASVAB |
| Collapse values from multiple imputation draws | averageMI |
| Full-Information Item Bi-factor and Two-Tier Analysis | bfactor |
| Description of Bock 1997 data | Bock1997 |
| Parametric bootstrap likelihood-ratio test | boot.LR |
| Calculate bootstrapped standard errors for estimated models | boot.mirt |
| Extract raw coefs from model object | coef,DiscreteClass-method coef,MixedClass-method coef,MixtureClass-method coef,MultipleGroupClass-method coef,SingleGroupClass-method coef-method |
| Create a user defined group-level object with correct generic functions | createGroup |
| Create a user defined item with correct generic functions | createItem |
| Description of deAyala data | deAyala |
| Differential item functioning statistics | DIF |
| Class "DiscreteClass" | DiscreteClass-class |
| Draw plausible parameter instantiations from a given model | draw_parameters |
| Differential Response Functioning statistics | DRF |
| Differential test functioning statistics | DTF |
| Empirical effect sizes based on latent trait estimates | empirical_ES |
| Function to generate empirical unidimensional item and test plots | empirical_plot |
| Function to calculate the empirical (marginal) reliability | empirical_rxx |
| Extract Empirical Estimating Functions | estfun.AllModelClass |
| Expand summary table of patterns and frequencies | expand.table |
| Function to calculate expected value of item | expected.item |
| Function to calculate expected test score | expected.test |
| Extract a group from a multiple group mirt object | extract.group |
| Extract an item object from mirt objects | extract.item |
| Extract various elements from estimated model objects | extract.mirt |
| Fixed-item calibration method | fixedCalib |
| Compute latent regression fixed effect expected values | fixef |
| Compute factor score estimates (a.k.a, ability estimates, latent trait estimates, etc) | fscores |
| Generalized item difficulty summaries | gen.difficulty |
| Imputing plausible data for missing values | imputeMissing |
| Item fit statistics | itemfit |
| Parametric smoothed regression lines for item response probability functions | itemGAM plot.itemGAM |
| Function to calculate item information | iteminfo |
| Displays item surface and information plots | itemplot |
| Generic item summary statistics | itemstats |
| Score a test by converting response patterns to binary data | key2binary |
| Lagrange test for freeing parameters | lagrange |
| Convert ordered Likert-scale responses (character or factors) to integers | likert2int |
| Extract log-likelihood | logLik,DiscreteClass-method logLik,MixedClass-method logLik,MixtureClass-method logLik,MultipleGroupClass-method logLik,SingleGroupClass-method logLik-method |
| Description of LSAT6 data | LSAT6 |
| Description of LSAT7 data | LSAT7 |
| Compute the M2 model fit statistic | M2 |
| Function to calculate the marginal reliability | marginal_rxx |
| Compute multidimensional difficulty index | MDIFF |
| Multidimensional discrete item response theory | mdirt |
| Compute multidimensional discrimination index | MDISC |
| Full-Information Item Factor Analysis (Multidimensional Item Response Theory) | mirt |
| Specify model information | mirt.model |
| Define a parallel cluster object to be used in internal functions | mirtCluster |
| Class "MixedClass" | MixedClass-class |
| Mixed effects modeling for MIRT models | mixedmirt |
| Class "MixtureClass" | MixtureClass-class |
| Convert an estimated mirt model to a data.frame | mod2values |
| Multiple Group Estimation | multipleGroup |
| Class "MultipleGroupClass" | MultipleGroupClass-class |
| Compute numerical derivatives | numerical_deriv |
| Person fit statistics | personfit |
| Compute profiled-likelihood (or posterior) confidence intervals | PLCI.mirt |
| Plot various test-implied functions from models | plot,DiscreteClass,missing-method plot,MixtureClass,missing-method plot,MultipleGroupClass,missing-method plot,MultipleGroupClass-method plot,SingleGroupClass,missing-method plot,SingleGroupClass-method plot-method |
| Change polytomous items to dichotomous item format | poly2dich |
| Print the model objects | print,DiscreteClass-method print,MixedClass-method print,MixtureClass-method print,MultipleGroupClass-method print,SingleGroupClass-method print-method |
| Print generic for customized data.frame console output | print.mirt_df |
| Print generic for customized list console output | print.mirt_list |
| Print generic for customized matrix console output | print.mirt_matrix |
| Function to calculate probability trace lines | probtrace |
| Compute posterior estimates of random effect | randef |
| Model-based Reliable Change Index | RCI |
| Translate mirt parameters into suitable structure for plink package | read.mirt |
| Remap item categories to have integer distances of 1 | remap.distance |
| Compute model residuals | residuals,DiscreteClass-method residuals,MixtureClass-method residuals,MultipleGroupClass-method residuals,SingleGroupClass-method residuals-method |
| Reverse score one or more items from a response matrix | reverse.score |
| RMSD effect size statistic to quantify category-level DIF | RMSD_DIF |
| Description of SAT12 data | SAT12 |
| Description of Science data | Science |
| Second-order test of convergence | secondOrderTest |
| Show model object | show,DiscreteClass-method show,MixedClass-method show,MixtureClass-method show,MultipleGroupClass-method show,SingleGroupClass-method show-method |
| (Generalized) Simultaneous Item Bias Test (SIBTEST) | SIBTEST |
| Simulate response patterns | simdata |
| Class "SingleGroupClass" | SingleGroupClass-class |
| Social Life Feelings Data | SLF |
| Summary of model object | summary,DiscreteClass-method summary,MixedClass-method summary,MixtureClass-method summary,MultipleGroupClass-method summary,SingleGroupClass-method summary-method |
| Function to calculate test information | testinfo |
| Create all possible combinations of vector input | thetaComb |
| Convert traditional IRT metric into slope-intercept form used in mirt | traditional2mirt |
| Extract parameter variance covariance matrix | vcov,DiscreteClass-method vcov,MixedClass-method vcov,MixtureClass-method vcov,MultipleGroupClass-method vcov,SingleGroupClass-method vcov-method |
| Wald statistics for mirt models | wald |
