Create a dichotomous response model
Transform from [0,1] to the reals
Liking for Science dataset
Map an item model, item parameters, and person trait score into a
probability vector
The base class for multi-dimensional response probability functions.
Computes local dependence indices for all pairs of items
Compute S-Chi-squared fit statistic for 1 item
Calculate item and person Rasch fit statistics
Create a similar item specification with the given number of factors
Multidimensional dichotomous item models (M1PL, M2PL, and M3PL).
Compute the P value that the observed and expected tables come from the same distribution
Calculate cell central moments
The multiple-choice response item model (both unidimensional and
multidimensional models have the same parameterization).
Find the point where an item provides mean maximum information
Calculate standardized residuals
Create a nominal response model
Randomly sample response patterns given a list of items
The unidimensional graded response item model.
The base class for response probability functions.
Knox Cube Test dataset
The base class for 1 dimensional graded response probability functions.
Length of the item parameter vector
Length of the item model vector
Item derivatives with respect to ability
Map an item model, item parameters, and person trait score into a
information vector
The multidimensional graded response item model.
rpf - Response Probability Functions
Calculate residuals
Map an item model, item parameters, and person trait score into a
probability vector
Unpack a two-tier model
Retrieve a description of the given parameter
The base class for 1 dimensional response probability functions.
Convert an IRT item model name to an ID
Create a graded response model
Rescale item parameters
Item parameter derivatives
Compute the ordinal gamma association statistic
The base class for multi-dimensional graded response probability
functions.
The ogive constant
Write a flexMIRT PRM file
Generates item parameters
Create a multiple-choice response model
Find the point where an item provides mean maximum information
Compute S-Chi-squared fit statistic for a set of items
Read a flexMIRT PRM file
The nominal response item model (both unidimensional and
multidimensional models have the same parameterization).
Unidimensional dichotomous item models (1PL, 2PL, and 3PL).