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| all.results.class | all.results.class |
| all.results.class-class | all.results.class |
| attribute.class | attribute.class |
| attribute.class-class | attribute.class |
| attribute.profile.class | attribute.profile.class |
| attribute.profile.class-class | attribute.profile.class |
| CalculatePiIStarPrime | Calculate value for pi.i.star.prime for one item |
| class.probabilities.interaction.test | Class probabilities for Q-matrix containing interaction between attributes |
| class.probabilities.test | Class probabilities for Q-matrix containing no interaction between attributes |
| dcm.scorer.class | dcm.scorer.class |
| dcm.scorer.class-class | dcm.scorer.class |
| DrawAlphas | Draw values from multinomial distribution |
| DrawClasses | Draw latent variable values |
| GetAllProbsCorrectNcrum | Calculate all item probabilities of correct response for NCRUM parameterization |
| GetAttributeProfiles | Attribute Profiles |
| GetAttributesProbabilitiesMCMC | Calculate attribute probabilities |
| GetClassProbabilitiesMCMC | Calculate attribute profile probabilities |
| GetClassProbsFromMus | Obtain attribute profile probabilities from latent variable means |
| GetGammaName | Obtain name of a particular gamma parameter |
| GetGammaNames | Obtain names of all gamma parameters |
| GetKernelParameterNames | Kernel Parameter Names for all DCM Models Given a Q-matrix and model type it generates item and structural parameter names. These are kernel parameters: item thresholds ('lambdas') and latent variable thresholds ('gammas') |
| GetLambdaName | Obtain name of a particular lambda parameter |
| GetLambdaNames | Gets names of lambda parameters |
| GetLambdaNamesForItem | Gets lambda names for a given item |
| GetMusFromGammas | Calcualte attribute means from gamma parameters |
| GetParameterNames | Parameter Names for All DCM Models |
| GetParameterResultsMCMC | Calculate results for attributes and attribute profiles |
| GetProbCorrectNcrum | Calculate item probability of correct response for NCRUM parameterization |
| GetRequiredAttributes | Generate required attributes |
| GetRequiredAttributesLambdaCrum | Calculate required attributes for lambdas for a CRUM model. |
| GetRequiredAttributesLambdaDina | Calculate required attributes for lambdas for a DINA model. |
| GetRequiredAttributesLambdaDino | Calculate required attributes for lambdas for a DINO model. |
| GetRequiredAttributesLambdaFullDCM | Calculate required attributes for lamdbas fully specified DCM |
| GetRequiredAttributesLambdaNido | Calculate required attributes for lambdas for a NIDO model. |
| GetThresholdLabels | Obtain item threshold labels |
| GetThresholdValues | GetThresholdValues |
| GetThresholdValuesKernel | Calculate item threshold values for kernel parameterization |
| GetThresholdValuesKernelPiR | Calculate item threshold values for NCRUM parameterization |
| head-method | headattribute.class |
| head-method | head attribute.profile.class |
| InitializeParameters | Initialize parameter estimates |
| iterate | Perform one iteration of MCMC procedure |
| LongFormatResults | Tranform dataframe to long format |
| mcmc | Performs MCMC routine for DCM |
| observations.test | Obervations |
| parameter.acov.DCM.Mplus.interaction.test | Covariance matrix of parameter estimates calibrated using Mplus for fully saturated model and Q-matrix with interaction. |
| parameter.acov.DCM.Mplus.test | Covariance matrix of parameter estimates calibrated using Mplus for fully saturated model. |
| parameter.class | parameter.class |
| parameter.class-class | parameter.class |
| parameter.means.DCM.kernel.Mplus.interaction.test | Kernel parameter estimates calibrated using Mplus for fully saturated model and Q-matrix with interaction. |
| parameter.means.DCM.kernel.Mplus.test | Kernel parameter estimates calibrated using Mplus for fully saturated model. |
| parameter.means.DCM.Mplus.interaction.test | Parameter estimates calibrated using Mplus for fully saturated model and Q-matrix with interaction. |
| parameter.means.DCM.Mplus.test | Parameter estimates calibrated using Mplus for fully saturated model. |
| parameter.means.names.DCM.kernel.Mplus.interaction.test | Names of kernel parameter estimates calibrated using Mplus for fully saturated model and Q-matrix with interaction. |
| parameter.means.names.DCM.Mplus.interaction.test | Names of parameter estimates calibrated using Mplus for fully saturated model and Q-matrix with interaction. |
| parameter.means.names.DCM.Mplus.test | Names of parameter estimates calibrated using Mplus for fully saturated model and Q-matrix with no interaction. |
| parameter.means.names.NCRUM.interaction.test | Names of parameter estimates calibrated using Mplus for fully saturated model and Q-matrix with interaction. |
| parameter.means.NCRUM.interaction.test | Parameter estimates calibrated using Mplus for NC-RUM model and Q-matrix with interaction. |
| plot-method | plot attribute.class |
| plot-method | plot attribute.profile.class |
| plot-method | plot of dcm.scorer.class |
| print-method | print attribute.class |
| print-method | print attribute.profile.class |
| qmatrix.test | Q-matrix |
| qmatrix.test.interaction | Q-matrix with interaction |
| SampleParameterEstimates | Randomly sample parameter estimates |
| ScoreDCM | Score dichotomous response data using DCM and MCMC |
| summary-method | summary attribute.class |
| summary-method | summary attribute.profile.class |
| summary-method | summary of dcm.scorer.class |