| AlphaCoefficient | Alpha Coefficient |
| AlphaIfDel | Alpha Coefficient if Item removed |
| asymprior | Prior distribution function with guessing parameter |
| Biclustering | Biclustering and Ranklustering Analysis |
| BINET | Bicluster Network Model |
| BiserialCorrelation | Biserial Correlation |
| BitRespPtn | Binary pattern maker |
| BNM | Bayesian Network Model |
| calcFitIndices | calc Fit Indices |
| CCRR | Conditional Correct Response Rate |
| CCRR.binary | Conditional Correct Response Rate |
| CCRR.default | Conditional Correct Response Rate |
| CCRR.nominal | Conditional Correct Response Rate |
| crr | Correct Response Rate |
| crr.binary | Correct Response Rate |
| crr.default | Correct Response Rate |
| CSR | Conditional Selection Rate |
| CTT | Classical Test Theory |
| dataFormat | dataFormat |
| Dimensionality | Dimensionality |
| Dimensionality.binary | Dimensionality |
| Dimensionality.default | Dimensionality |
| Dimensionality.ordinal | Dimensionality |
| Dimensionality.rated | Dimensionality |
| GRM | Graded Response Model (GRM) |
| grm_iif | Item Information Function for GRM |
| grm_prob | Probability function for GRM |
| IIF2PLM | IIF for 2PLM |
| IIF3PLM | IIF for 3PLM |
| InterItemAnalysis | Inter-Item Analysis for Psychometric Data |
| IRM | Infinite Relational Model |
| IRT | Estimating Item parameters using EM algorithm |
| ITBiserial | Item-Total Biserial Correlation |
| ITBiserial.binary | Item-Total Biserial Correlation |
| ITBiserial.default | Item-Total Biserial Correlation |
| ItemEntropy | Item Entropy |
| ItemEntropy.binary | Item Entropy |
| ItemEntropy.default | Item Entropy |
| ItemEntropy.ordinal | Item Entropy |
| ItemFit | Model Fit Functions for Items |
| ItemInformationFunc | IIF for 4PLM |
| ItemLift | Item Lift |
| ItemLift.binary | Item Lift |
| ItemLift.default | Item Lift |
| ItemOdds | Item Odds |
| ItemOdds.binary | Item Odds |
| ItemOdds.default | Item Odds |
| ItemReport | Generate Item Report for Non-Binary Test Data |
| ItemStatistics | Simple Item Statistics |
| ItemStatistics.binary | Simple Item Statistics |
| ItemStatistics.default | Simple Item Statistics |
| ItemStatistics.ordinal | Simple Item Statistics |
| ItemThreshold | Item Threshold |
| ItemThreshold.binary | Item Threshold |
| ItemThreshold.ordinal | Item Threshold |
| ItemTotalCorr | Item-Total Correlation |
| ItemTotalCorr.binary | Item-Total Correlation |
| ItemTotalCorr.default | Item-Total Correlation |
| ItemTotalCorr.ordinal | Item-Total Correlation |
| J12S5000 | J12S5000 |
| J15S3810 | J15S3810 |
| J15S500 | J15S500 |
| J20S400 | J20S400 |
| J35S5000 | J35S5000 |
| J35S515 | J35S515 |
| J50S100 | J50S100 |
| J5S10 | J5S10 |
| J5S1000 | J5S1000 |
| JCRR | Joint Correct Response Rate |
| JCRR.binary | Joint Correct Response Rate |
| JCRR.default | Joint Correct Response Rate |
| JCRR.nominal | Joint Correct Response Rate |
| JointSampleSize | Joint Sample Size |
| JointSampleSize.binary | Joint Sample Size |
| JointSampleSize.default | Joint Sample Size |
| JSR | Joint Selection Rate |
| LCA | Latent Class Analysis |
| LDB | Local Dependence Biclustering |
| LDLRA | Local Dependence Latent Rank Analysis |
| LD_param_est | LDparam set |
| LogisticModel | Four-Parameter Logistic Model |
| longdataFormat | Long Format Data Conversion |
| LRA | Latent Rank Analysis |
| LRA.binary | Latent Rank Analysis |
| LRA.default | Latent Rank Analysis |
| LRA.ordinal | Latent Rank Analysis |
| LRA.rated | Latent Rank Analysis |
| maxParents_penalty | Utility function for searching DAG |
| MutualInformation | Mutual Information |
| MutualInformation.binary | Mutual Information |
| MutualInformation.default | Mutual Information |
| MutualInformation.ordinal | Mutual Information |
| nrs | Number Right Score |
| nrs.binary | Number Right Score |
| nrs.default | Number Right Score |
| objective_function_IRT | Log-likelihood function used in the Maximization Step (M-Step). |
| OmegaCoefficient | Omega Coefficient |
| passage | Passage Rate of Student |
| passage.binary | Passage Rate of Student |
| passage.default | Passage Rate of Student |
| percentile | Student Percentile Ranks |
| percentile.binary | Student Percentile Ranks |
| percentile.default | Student Percentile Ranks |
| PhiCoefficient | Phi-Coefficient |
| PhiCoefficient.binary | Phi-Coefficient |
| PhiCoefficient.default | Phi-Coefficient |
| plot.exametrika | Plot Method for Objects of Class "exametrika" |
| polychoric | Polychoric Correlation |
| PolychoricCorrelationMatrix | Polychoric Correlation Matrix |
| PolychoricCorrelationMatrix.default | Polychoric Correlation Matrix |
| PolychoricCorrelationMatrix.ordinal | Polychoric Correlation Matrix |
| polyserial | Polyserial Correlation |
| print.exametrika | Print Method for Exametrika Objects |
| PSD_item_params | internal functions for PSD of Item parameters |
| RaschModel | Rasch Model |
| ScoreReport | Generate Score Report for Non-Binary Test Data |
| slopeprior | Prior distribution function with respect to the slope. |
| softmax | softmax function |
| sscore | Standardized Score |
| sscore.binary | Standardized Score |
| sscore.default | Standardized Score |
| stanine | Stanine Scores |
| stanine.binary | Stanine Scores |
| stanine.default | Stanine Scores |
| StrLearningGA_BNM | Structure Learning for BNM by simple GA |
| StrLearningPBIL_BNM | Structure Learning for BNM by PBIL |
| StrLearningPBIL_LDLRA | Structure Learning for LDLRA by PBIL algorithm |
| StudentAnalysis | StudentAnalysis |
| target_to_params_jac | parameter transformation target_to_params |
| TestFit | Model Fit Functions for test whole |
| TestFitSaturated | Model Fit Functions for saturated model |
| TestInformationFunc | TIF for IRT |
| TestResponseFunc | TRF for IRT |
| TestStatistics | Simple Test Statistics |
| TestStatistics.binary | Simple Test Statistics |
| TestStatistics.default | Simple Test Statistics |
| TestStatistics.ordinal | Simple Test Statistics |
| tetrachoric | Tetrachoric Correlation |
| TetrachoricCorrelationMatrix | Tetrachoric Correlation Matrix |
| TetrachoricCorrelationMatrix.binary | Tetrachoric Correlation Matrix |
| TetrachoricCorrelationMatrix.default | Tetrachoric Correlation Matrix |
| ThreePLM | Three-Parameter Logistic Model |
| TwoPLM | Two-Parameter Logistic Model |