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