A different Q&K Model tab is generated for each combination of Q and K matrices. Each of these tabs contains one each of the following elements for each trait variable:
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One Model Fitting Information table
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This table shows the values of model information criteria for a specific combination of Q and K matrices. These values are displayed on the Model Fitting Information plot alongside with other combinations of Q and K matrices and they can be used to compare and identify better fitting models to the current data
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One Fixed Effects table
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This table shows the parameter estimates of all fixed effects present in a specific model. Fixed effects include the intercept, the Q matrix variables, and any additional Fixed Effects that might have been entered in the Model Variables tab of the process dialog.
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One Random Effects table
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This table shows the BLUPs estimates of all random effects present in a specific model. Random effects include the K matrix variables, and any additional Random Effects that might have been entered in the Model Variables tab of the process dialog.
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One Covariance Parameters table
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This table shows the covariance parameter estimates of all random effects present in a specific model. Random effects include the residual variance, the variance attributed to the K matrix, and the variance of any additional Random Effects that might have been entered in the Model Variables tab of the process dialog.