Denote the linear mixed model by E[Y|γ] = Xβ + Zγ. Here
is the vector of fixed effect coefficients and γ is the vector of random effect coefficients. The conditional predictions are the predictions obtained from the model given by
.
is the vector of fixed effect coefficients and γ is the vector of random effect coefficients. The conditional predictions are the predictions obtained from the model given by
.Options that are appropriate for the model that you are fitting are enabled. See Figure 7.21 for an example of a Profiler. See Figure 7.42 for an example of a Surface Profiler. For more information about the profiler, see Surface Plot in the Profilers book.
Conditional Profilers