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Random Effects (joint dist.)

Purpose

This graphic displays scatter plots for each pairs 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 for distribution of the random effects associated to each other. Regressions and spline interpolation are added to see the correlation between random effects.

random_effects_joint_distributions

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.