Load the spatial rotation data | (1) Simulate responses and response times based on the DINA_FOHM model | (2) Run the MCMC to sample parameters from the posterior distribution | (3) Check for parameter estimation accuracy | (4) Evaluate the fit of the model to the observed response

Load the spatial rotation data | (1) Simulate responses and response times based on the HMDCM model with response times (no covariance between speed and learning ability) | (2) Run the MCMC to sample parameters from the posterior distribution | (3) Check for parameter estimation accuracy | (4) Evaluate the fit of the model to the observed response and response times data (here, Y_sim and R_sim)

Load the spatial rotation data | (1) Simulate responses and response times based on the HMDCM model with response times (no covariance between speed and learning ability) | (2) Run the MCMC to sample parameters from the posterior distribution | (3) Check for parameter estimation accuracy | (4) Evaluate the fit of the model to the observed response and response times data (here, Y_sim and R_sim)

Load the spatial rotation data | (1) Simulate responses based on the HMDCM model | (2) Run the MCMC to sample parameters from the posterior distribution | (3) Evaluate the accuracy of estimated parameters | Attribute-wise agreement rate between true and estimated alphas | Pattern-wise agreement rate between true and estimated alphas | (4) Evaluate the fit of the model to the observed response | Convergence checking

Load the spatial rotation data | (1) Simulate responses and response times based on the NIDA model | (2) Run the MCMC to sample parameters from the posterior distribution | (3) Check for parameter estimation accuracy | (4) Evaluate the fit of the model to the observed response

Load the spatial rotation data | (1) Simulate responses and response times based on the rRUM model | (2) Run the MCMC to sample parameters from the posterior distribution | (3) Check for parameter estimation accuracy | (4) Evaluate the fit of the model to the observed response

Intro | Functions | Data

Intro | Data | Constructing the Model Matrix | Modeling the Data | Parameter Estimates

Intro | Simulation | Simulation Results | Exporting Results for Publication

Overview | Notation | Usage | Matrix Simulation | Identifiable Q Matrix Simulation | $\eta$ Matrix Simulation | Attribute profile simulation | DINA Simulation | DINA Item Simulation | DINA Attribute Simulation | rRUM Simulation | Simulate rRUM items

Package usage | R Package Usage | C++ Usage | C++ Standalone Usage | C++ Package