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Fitting Linear Models > Mixed Models > Conditional Model Inference
Publication date: 11/10/2021

Image shown hereConditional Model Inference

The conditional model diagnostic plots are based on conditional residuals. Conditional residuals reflect the prediction error once both fixed and random effects have been fit.

Actual by Conditional Predicted Plot

Plots actual values versus values predicted by the model, accounting for the random effects. When there are random effects, the Actual by Conditional Predicted Plot appears by default. See Actual by Conditional Predicted Plot.

Conditional Residual Plots

Provides residual plots that assess model fit, accounting for the random effects. See Conditional Residual Plots.

Conditional Profiler, Conditional Contour Profiler, Conditional Mixture Profiler, Conditional Surface Profiler

Provides profilers to examine the relationship between the response and the model terms, accounting for random effects. See Conditional Profilers.


Provides a variogram plot that shows the change in covariance as the distance between observations increases. When the Residual structure is selected, you can select the columns to use as temporal or spatial coordinates. See Variogram.

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