ex4 {cogirt} | R Documentation |
Simulated Data for a Unidimensional Two-Parameter Item Response Model with Two Measurement Occasions
Description
Data and parameters were simulated based on example 4 provided for the sim_dich_response.R function.
Usage
ex4
Format
A list with the following elements:
- y
Matrix of dichotomous responses.
- ystar
Matrix of latent response variates.
- omega
Subject-level effects of the experimental manipulation.
- omega_mu
Vector of means for the subject-level effects of the experimental manipulation (1 by K * M).
- omega_sigma2
Covariance matrix for the subject-level effects of the experimental manipulation (K * M by K * M).
- gamma
Contrast codes matrix.
- lambda
Matrix of item slope parameters.
- lambda_mu
Vector of means for the item slope parameters (1 by JM).
- lambda_sigma2
Covariance matrix for the item slope parameters (JM by JM).
- nu
Mean of the item intercept parameters (scalar).
- nu_mu
Mean of the item intercept parameters (scalar).
- nu_sigma2
Variance of the item intercept parameters (scalar).
- zeta
Condition-level prediction errors.
- zeta_mu
Vector of means for the condition-level prediction errors (1 by J * M).
- zeta_sigma2
Covariance matrix for the condition-level prediction errors (J * M by J * M).
- kappa
Item guessing matrix (K by IJ).
- condition
Condition vector indiciting distinct conditions or time points.
- key
Item key vector where 1 indicates target and 2 indicates distractor (IJ)
...