# Random Effects (joint dist.)

### Purpose

This graphic displays scatter plots for each pair of random effects.

### Example of graphic

In the following example, the parameters of a one compartmental model with first order absorption and linear elimination (on the theophylline data set) are estimated. One can see the random effects associated with each other. Regressions and spline interpolation are added to see the correlation between random effects. ### Settings

• Display
• Data
• Spline
• Regression
• Estimator. The user can define which estimator is used for the definition of the individual parameters and thus for the random effects.

By default, both displays are proposed with the individual parameters coming from the conditional mode estimation.
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