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
|
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
|
•
|
One
Fixed Effects
table
|
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
.
|
•
|
One
Random Effects
table
|
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.
|
•
|
One
Covariance Parameters
table
|
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.