Summary Tables | Design options | Generator families | Advanced simulation options | Study Designs and Indexing | Single-Level, Group-Level, and Multilevel Predictors | Distribution Families | Categorical Variables | Correlated and Compositional Predictors | Location-Scale Predictors | Custom Generators | Dynamic Outcome Simulation

Intro | Fitting main model | Substitution models | Basic Substitution Analysis | Average Marginal Substitution Effects

Multilevel model with compositional outcomes. | Computing compositions and isometric log ratio coordinates. | Fitting model | Bayes Factor for compositional multilevel modelling

Multilevel model with compositional predictors | Compositions and isometric log ratio (ILR) coordinates. | Fitting model | Bayes Factor for significance testing | Substitution model | Between-person substitution model | Within-person substitution model | More interesting substitution models

Introduction | Generating Data from Simulation Study | Example Models | Improving within-chain autocorrelation of MCMC sampling | Increased posterior draws | Centered Parameterisation | Computational Time | Conclusion | References

Compositional Data Analysis | Multilevel Modelling for Compositional Data