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Fitting Linear Models > Mixed Models
Publication date: 04/21/2023

Image shown hereMixed Models

Jointly Model the Mean and Covariance

The Mixed Model personality of the Fit Model platform is available only in JMP Pro.

The Mixed Model personality fits a wide variety of linear models for continuous responses with complex covariance structures. These models include random coefficients, repeated measures, spatial data, and data with multiple correlated responses. Use the Mixed Model personality to specify linear mixed models and their covariance structures conveniently using an intuitive interface, and to fit these models using maximum likelihood methods.

The modeling results are supported by interactive visualization tools such as profilers, surface plots, and contour plots. You can use these tools to complement your understanding of the model.

Figure 8.1 Marginal Model Profiler for a Split Plot Experiment 

Marginal Model Profiler for a Split Plot Experiment

Contents

Overview of the Mixed Model Personality

Example Using the Mixed Model Personality

Launch the Mixed Model Personality

Fit Model Launch Window
Data Format

Mixed Model Report and Options

Random Effects Covariance Parameter Estimates
Fixed Effects Parameter Estimates
Repeated Effects Covariance Parameter Estimates
Random Coefficients
Random Effects Predictions
Fixed Effects Tests
Sequential Tests

Multiple Comparisons

Compare Slopes

Marginal Model Inference

Actual by Predicted Plot
Residual Plots
Marginal Model Profiler
Variogram

Conditional Model Inference

Actual by Conditional Predicted Plot
Conditional Residual Plots
Conditional Profilers

Additional Examples of the Mixed Model Personality

Example of Repeated Measures
Example of a Split Plot Experiment
Example of a Uniformity Trial
Example of a Correlated Response

Statistical Details for the Mixed Model Personality

Statistical Details for the Convergence Score Test
Statistical Details for the Random Coefficient Model
Statistical Details for Repeated Measures
Statistical Details for Repeated Covariance Structures
Statistical Details for Spatial and Temporal Variability
Statistical Details for the Kackar-Harville Correction
Want more information? Have questions? Get answers in the JMP User Community (community.jmp.com).