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