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 |