Generate_Choice {cIRT} | R Documentation |
Generate Observed Data from choice model
Description
Generates observed cognitive and choice data from the IRT-Thurstone model.
Usage
Generate_Choice(N, J, K, theta, as, bs, zeta, gamma, X, W, subject_ids,
unique_subject_ids)
Arguments
N |
An integer for the number of observations.
|
J |
An integer for the number of items.
|
K |
An integer for the number of paired comparisons.
|
theta |
A vector of latent cognitive variables.
|
as |
A vector of length J with item discriminations.
|
bs |
A vector of length J with item locations.
|
zeta |
A matrix with dimensions N x V containing
random parameter estimates.
|
gamma |
A vector with dimensions P x 1 containing
fixed parameter estimates, where P = P_1 + P_2
|
X |
A matrix with dimensions N*K x P_1 containing
fixed effect design matrix without theta.
|
W |
A matrix with dimensions N*K x V containing
random effect variables.
|
subject_ids |
A vector with length NK x 1 containing
subject-choice IDs.
|
unique_subject_ids |
A vector with length N x 1 containing
unique subject IDs.
|
Value
A list
that contains:
Y
A matrix
of dimension N by J
C
A vector
of length NK
Author(s)
Steven Andrew Culpepper and James Joseph Balamuta
[Package
cIRT version 1.3.0
Index]