Knox Cube Test dataset
Convert an IRT item model name to an ID
rpf - Response Probability Functions
Map an item model, item parameters, and person trait score into a
probability vector
Compute S-Chi-squared fit statistic for a set of items
Compute S-Chi-squared fit statistic for 1 item
Generates item parameters
Find the point where an item provides mean maximum information
The ogive constant
Create a multiple-choice response model
The base class for 1 dimensional graded response probability functions.
Calculate standardized residuals
The base class for multi-dimensional response probability functions.
The nominal response item model (both unidimensional and
multidimensional models have the same parameterization).
Find the point where an item provides mean maximum information
Create a nominal response model
Unidimensional dichotomous item models (1PL, 2PL, and 3PL).
Create a graded response model
The base class for multi-dimensional graded response probability
functions.
The multiple-choice response item model (both unidimensional and
multidimensional models have the same parameterization).
Create a dichotomous response model
Multidimensional dichotomous item models (M1PL, M2PL, and M3PL).
Calculate cell central moments
The base class for 1 dimensional response probability functions.
Randomly sample response patterns given a list of items
The base class for response probability functions.
Map an item model, item parameters, and person trait score into a
probability vector
Read a flexMIRT PRM file
Write a flexMIRT PRM file
Calculate residuals
Map an item model, item parameters, and person trait score into a
information vector
The unidimensional graded response item model.
Calculate item and person Rasch fit statistics
Item parameter derivatives
Retrieve a description of the given parameter
Rescale item parameters
Item derivatives with respect to ability
Length of the item model vector
Length of the item parameter vector
Liking for Science dataset
The multidimensional graded response item model.