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