| irtoys-package | Estimate and plot IRT models for binary responses |
| ability | Estimate ability |
| api | The api appropriateness index |
| b1 | Example item parameters 1PL (Bilog) |
| b2 | Example item parameters 2PL (Bilog) |
| b3 | Example item parameters 3PL (Bilog) |
| dpv | Draw plausible values |
| eap | EAP estimation of ability |
| erf | Plot empirical response function |
| est | Estimate item parameters |
| iif | Item information function |
| interactionModel | Interaction model |
| irf | Item response function |
| irfPlot | Item fit plot |
| irtoys | Estimate and plot IRT models for binary responses |
| itf | Test item fit |
| mlebme | Maximum likelihood and Bayes Modal estimation of ability |
| normal.qu | Normal quadrature points and weights |
| npp | Non-parametric characteristic curves |
| plot.iif | A plot method for item information functions |
| plot.imp | A plot method for the interaction model |
| plot.irf | A plot method for item response functions |
| plot.tif | A plot method for test information functions |
| plot.trf | A plot method for test response functions |
| qrs | Quantiles of the ranked sum scores |
| read.ip.bilog | Read in parameter estimates |
| read.ip.icl | Read in parameter estimates |
| read.qu.icl | Read in quadrature |
| read.resp | Read responses from a file |
| rim | Item-total regressions for the Rasch vs. the interaction model |
| sca | Linear transformation of the IRT scale |
| sco | Score a multiple choice test |
| Scored | Binary (true/false) responses to a test |
| Scored2pl | Example item parameters |
| scoreMetric | Sum score metric |
| scp | Plot observed and predicted scores against ability |
| sim | Simulate response data |
| tet | Approximate tetchoric correlation matrix |
| tgf | Non-parametric option curves |
| tia | Elementary test-item analysis |
| tif | Test information function |
| trf | Test response function |
| tsc | True scores with standard errors |
| Unscored | Original, unscored multiple-choice responses to a test |
| wle | Bias-corrected (Warm's) estimates of ability |