| ShinyItemAnalysis-package | ShinyItemAnalysis: Test and Item Analysis via shiny |
| AIBS | AIBS grant peer review scoring dataset |
| Anxiety | PROMIS Anxiety Scale Dataset |
| AttitudesExpulsion | Attitudes towards the Expulsion of the Sudeten Germans (dataset) |
| BFI2 | BFI2 Dataset |
| blis | Fit Baseline-category Logit Intercept-Slope (BLIS) model on nominal data |
| BlisClass-class | BLIS S4 class |
| coef-method | Get Coefficients from a fitted BLIS model |
| CZmatura | CZmatura dataset |
| CZmaturaS | CZmatura dataset - sample |
| dataMedical | Dichotomous dataset of admission test to medical school |
| dataMedicalgraded | Graded dataset of admission test to medical school |
| dataMedicalkey | Key of correct answers for dataset of admission test to medical school |
| dataMedicaltest | Dataset of admission test to medical school |
| DDplot | Plot difficulties and discriminations/item validity |
| DistractorAnalysis | Distractor analysis |
| EPIA | The Eysenck Personality Inventory Impulsivity Subscale |
| fa_parallel | Conduct Parallel Analysis |
| fit_blis | Fit Baseline-category Logit Intercept-Slope (BLIS) model on nominal data |
| gDiscrim | Compute generalized item discrimination |
| get_orig_levels | Get Original Levels from a Fitted BLIS model |
| ggWrightMap | Plot person-item map (Wright map) using 'ggplot2' |
| GMAT | Dichotomous dataset based on GMAT with the same total score distribution for groups. |
| HCI | Homeostasis Concept Inventory dichotomous dataset |
| HCIdata | Homeostasis concept inventory full dataset |
| HCIgrads | Homeostasis concept inventory dataset of graduate students |
| HCIkey | Key of correct answers for homeostasis concept inventory dataset |
| HCIlong | Homeostasis Concept Inventory in a long format |
| HCIprepost | Homeostasis concept inventory pretest and posttest scores |
| HCItest | Homeostasis concept inventory multiple-choice dataset |
| HCItestretest | Homeostasis concept inventory test-retest dataset |
| HeightInventory | Height inventory dataset |
| ICCrestricted | Range-restricted reliability with intra-class correlation |
| ItemAnalysis | Compute traditional item analysis indices |
| LearningToLearn | Dichotomous dataset of learning to learn test |
| MSATB | Dichotomous dataset of Medical School Admission Test in Biology. |
| MSclinical | Clinical outcomes in multiple sclerosis patients dataset |
| NIH | NIH grant peer review scoring dataset |
| nominal_to_int | Turn nominal (factor) data to integers, keep original levels with a key of correct responses alongside |
| obtain_nrm_def | Obtain model definition for 'mirt"s nominal model taking in account the key of correct answers |
| plot.sia_parallel | Plot Method for Parallel Analysis Output |
| plotAdjacent | Plot category probabilities of adjacent category logit model |
| plotCumulative | Plot cumulative and category probabilities of cumulative logit model |
| plotDIFirt | Plot item characteristic curve of DIF IRT model |
| plotDIFLogistic | Function for characteristic curve of 2PL logistic DIF model |
| plotDistractorAnalysis | Plot item distractor analysis |
| plotMultinomial | Plot category probabilities of multinomial model |
| plot_corr | Compute and plot an item correlation matrix |
| print.blis_coefs | Print method for BLIS coefficients |
| recode_nr | Recognize and recode not-reached responses |
| run_app | Start ShinyItemAnalysis application |
| ShinyItemAnalysis | ShinyItemAnalysis: Test and Item Analysis via shiny |
| startShinyItemAnalysis | Start ShinyItemAnalysis application |
| TestAnxietyCor | Correlation matrix for the test anxiety dataset |
| theme_app | Complete theme for 'ShinyItemAnalysis' graphics |