Calculate value for pi.i.star.prime for one item
Obtain attribute profile probabilities from latent variable means
Obtain name of a particular lambda parameter
GetClassProbabilitiesMCMC
Calculate attribute profile probabilities
GetRequiredAttributesLambdaFullDCM
Calculate required attributes for lamdbas fully specified DCM
Calculate item probability of correct response for NCRUM parameterization
GetRequiredAttributesLambdaDina
Calculate required attributes for lambdas for a DINA model.
attribute.profile.class-class
attribute.profile.class
GetAttributesProbabilitiesMCMC
Calculate attribute probabilities
GetThresholdValuesKernelPiR
Calculate item threshold values for NCRUM parameterization
GetRequiredAttributesLambdaCrum
Calculate required attributes for lambdas for a CRUM model.
Perform one iteration of MCMC procedure
GetThresholdValues
all.results.class
Draw latent variable values
Obtain name of a particular gamma parameter
Draw values from multinomial distribution
Attribute Profiles
Parameter Names for All DCM Models
Score dichotomous response data using DCM and MCMC
head,attribute.class-method
headattribute.class
class.probabilities.interaction.test
Class probabilities for Q-matrix containing interaction between attributes
Initialize parameter estimates
parameter.means.DCM.Mplus.test
Parameter estimates calibrated using Mplus for fully saturated model.
dcm.scorer.class
Calculate item threshold values for kernel parameterization
Calculate all item probabilities of correct response for NCRUM parameterization
parameter.means.DCM.kernel.Mplus.interaction.test
Kernel parameter estimates calibrated using Mplus for fully saturated model and Q-matrix with interaction.
Randomly sample parameter estimates
parameter.acov.DCM.Mplus.interaction.test
Covariance matrix of parameter estimates calibrated using Mplus for fully saturated model and Q-matrix with interaction.
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
)
attribute.class
Gets lambda names for a given item
GetRequiredAttributesLambdaDino
Calculate required attributes for lambdas for a DINO model.
parameter.acov.DCM.Mplus.test
Covariance matrix of parameter estimates calibrated using Mplus for fully saturated model.
head,attribute.profile.class-method
head attribute.profile.class
Performs MCMC routine for DCM
Tranform dataframe to long format
parameter.class
parameter.means.DCM.Mplus.interaction.test
Parameter estimates calibrated using Mplus for fully saturated model and Q-matrix with interaction.
Class probabilities for Q-matrix containing no interaction between attributes
Calcualte attribute means from gamma parameters
Obervations
Obtain names of all gamma parameters
parameter.means.names.NCRUM.interaction.test
Names of parameter estimates calibrated using Mplus for fully saturated model and Q-matrix with interaction.
summary,attribute.class-method
summary attribute.class
print,attribute.class-method
print attribute.class
GetRequiredAttributesLambdaNido
Calculate required attributes for lambdas for a NIDO model.
parameter.means.names.DCM.Mplus.test
Names of parameter estimates calibrated using Mplus for fully saturated model and Q-matrix with no interaction.
Gets names of lambda parameters
summary,attribute.profile.class-method
summary attribute.profile.class
Generate required attributes
parameter.means.NCRUM.interaction.test
Parameter estimates calibrated using Mplus for NC-RUM model and Q-matrix with interaction.
Q-matrix
plot,dcm.scorer.class,missing-method
plot of dcm.scorer.class
print,attribute.profile.class-method
print attribute.profile.class
plot,attribute.profile.class,missing-method
plot attribute.profile.class
Obtain item threshold labels
Calculate results for attributes and attribute profiles
summary,dcm.scorer.class-method
summary of dcm.scorer.class
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.
plot,attribute.class,missing-method
plot attribute.class
parameter.means.DCM.kernel.Mplus.test
Kernel 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.