| Analyze | Analyze test or rating scale data defined in 'dataList'. |
| ArcLength.plot | Plot arc length as a function of score index 'theta'. |
| ConditionalSimulation | Simulation-based Estimation of Efficiency of a TestGardener Model |
| DHfun | Compute the first and second derivatives of the negative log likelihoods |
| Entropy.plot | Plot item entropy curves for selected items or questions. |
| Hfun | Compute the negative log likelihoods associated with a vector of score index values. |
| Hfuns.plot | Plot a selection of fit criterion H functions and their first two derivatives. |
| Item.plot | Four plots for item assessment |
| keyshort | Option information for the short form of the SweSAT Quantitative test. |
| make.dataList | Make a list object containing information required for analysis of choice data. |
| mu.plot | Plot expected test score as a function of score index |
| Power.plot | Plot item power curves for selected items or questions. |
| Quant_dataList | List of objects essential for an analysis of the abbreviated SweSAT Quantitative multiple choice test. |
| Quant_key | Option information for the short form of the SweSAT Quantitative test. |
| Quant_parList | List vector containing results for an analysis of the abbreviated SweSAT Quantitative multiple choice test. |
| Quant_U | Test data for 24 math calculation questions from the SweSAT Quantitative data. |
| scoreDensity | Compute and plot a score density histogram and and curve. |
| scorePerformance | Calculate mean squared error and bias for a set of score index values from simulated data. |
| SDS | The Symptom Distress Scale data. |
| SDS_dataList | List of objects essential for an analysis of the Symptom Distress Scale. |
| SDS_key | Key for Symptom Distress Scale. |
| SDS_parList | List of objects essential for an analysis of the Symptom Distress Scale. |
| SDS_U | Test data for Symptom Distress Scale. |
| Sensitivity.plot | Plots all the sensitivity curves for selected items or questions. |
| testscore | Compute the expected test score by substituting probability of choices for indicator variable 0-1 values. Binary items assumed coded as two choice items. |
| TG_density.fd | Compute a Probability Density Function |
| theta.distn | Compute score density |
| theta2arclen | Compute arc length and positions along the test information or scale curve |
| thetafun | Compute optimal scores |
| Ushort | Test data for 24 math calculation questions from the SweSAT Quantitative data. |
| Usimulate | Simulate a test or scale data matrix. |
| usimulate | Simulate a test or scale data matrix. |
| Wbinsmth | Estimate the option probability and surprisal curves. |
| Wbinsmth.init | Set up initial coefficient values for computing surprisal curves. |
| Wbinsmth.plot | Plot probability and surprisal curves for a selection of test or scale items. |
| Wpca.plot | Plot the test information or scale curve in either two or three dimensions. |