No articles match
DINA_FOHM4 years ago
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
DINA_HO_RT_joint4 years ago
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)
DINA_HO_RT_sep4 years ago
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)
HMDCM4 years ago
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
NIDA_indept4 years ago
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
rRUM_indept4 years ago
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