Create a dichotomous response model
Compute the S fit statistic for 1 item
Create a multiple-choice response model
Create a nominal response model
The nominal response item model (both unidimensional and
multidimensional models have the same parameterization).
Rescale item parameters
Convert an OpenMx MxModel object into an IFA group
Omit items with the most missing data
Multidimensional dichotomous item models (M1PL, M2PL, and M3PL).
Length of the item parameter vector
The unidimensional graded response item model.
Tabulate data.frame rows
Order a data.frame by missingness and all columns
Map an item model, item parameters, and person trait score into a
probability vector
Length of the item model vector
The base class for multi-dimensional graded response probability
functions.
The multidimensional graded response item model.
Monte-Carlo test for cross-tabulation tables
Transform from [0,1] to the reals
Computes local dependence indices for all pairs of items
The base class for 1 dimensional response probability functions.
Map an item model, item parameters, and person trait score into a
information vector
Calculate cell central moments
The base class for response probability functions.
Item derivatives with respect to the location in the latent space
Compute EAP scores
Read a flexMIRT PRM file
The base class for 1 dimensional graded response probability functions.
Knox Cube Test dataset
Find the point where an item provides mean maximum information
Compute the observed sum-score
Create a similar item specification with the given number of factors
Find the point where an item provides mean maximum information
Calculate standardized residuals
The multiple-choice response item model (both unidimensional and
multidimensional models have the same parameterization).
Map an item model, item parameters, and person trait score into a
probability vector
rpf - Response Probability Functions
Compute the sum-score EAP table
Randomly sample response patterns given a list of items
The base class for multi-dimensional response probability functions.
Compute the ordinal gamma association statistic
Convert an rpf item model name to an ID
The ogive constant
Unidimensional dichotomous item models (1PL, 2PL, and 3PL).
Calculate residuals
Item parameter derivatives
Conduct the sum-score EAP distribution test
Write a flexMIRT PRM file
Compute the S fit statistic for a set of items
Multinomial fit test
Calculate item and person Rasch fit statistics
Create a graded response model
Retrieve a description of the given parameter
Liking for Science dataset
Produce an item outcome by observed sum-score table
Compress a data frame into unique rows and frequencies
Compute the P value that the observed and expected tables come from the same distribution
Expand summary table of patterns and frequencies
Generates item parameters