Example Data | Multilevel Descriptive Statistics | Estimation Method | Customising the Output | Pretty Printing | Decomposing Variables into Within- and Between-Person Components | References

Example Data | Why a Single Correlation Is Not Enough | Within- and Between-Group Correlations | Reading the Matrix | When Within and Between Diverge | Estimation Method and Weighting | Customising the Output | Pipe-Friendly Output | Bayesian Estimation | References

Example data | Default console output | tinytable format | Custom title and notes | gt format | Manipulating the result before printing | Removing columns | Replacing NA with a dash | Renaming variables | Combining manipulations | Embedding in Quarto documents | Word / DOCX output | HTML / PDF

Example Data | Decomposing Time-Varying Predictors | Selecting Components | Customising Column Names | Decomposing Multiple Variables at Once | Fitting the REWB Model | Step 1 — Within and between effects | Step 2 — Accounting for confounding | Adding More Predictors | Adding Random Slopes | Further Reading | References

The decomposition method | Weighted vs. unweighted between-group correlations | Significance testing | The SEM method | The Bayesian method | Choosing a method | References

Example Data | Multilevel Descriptive Statistics | Estimation Method | Customising the Output | Pretty Printing | Decomposing Variables into Within- and Between-Person Components | References

Example Data | Why a Single Correlation Is Not Enough | Within- and Between-Group Correlations | Reading the Matrix | When Within and Between Diverge | Estimation Method and Weighting | Customising the Output | Pipe-Friendly Output | Bayesian Estimation | References

Example data | Default console output | tinytable format | Custom title and notes | gt format | Manipulating the result before printing | Removing columns | Replacing NA with a dash | Renaming variables | Combining manipulations | Embedding in Quarto documents | Word / DOCX output | HTML / PDF

Example Data | Decomposing Time-Varying Predictors | Selecting Components | Customising Column Names | Decomposing Multiple Variables at Once | Fitting the REWB Model | Step 1 — Within and between effects | Step 2 — Accounting for confounding | Adding More Predictors | Adding Random Slopes | Further Reading | References

The decomposition method | Weighted vs. unweighted between-group correlations | Significance testing | The SEM method | The Bayesian method | Choosing a method | References