Multiclass classification | When a class is never predicted | Binary classification and weights | Regression | Robust regression | Training controls | Tuning and cross-validation | Permutation importance | Save, load, and inspect | Checking scales and parameter intervals | Function map

Find your way around the editor | 1. Open the example | 2. Drag a node | 3. Drag the coefficient, not the node | 4. Change a displayed name | 5. Look at what will be exported | 6. Save both the figure and the editable arrangement | 7. Return to the figure later | Working with several nodes | When the result is not what you expected

A CFA example | What the diagram includes | Editing with the mouse | Checking the exported appearance | Saving the edited figure | Returning to the editor | Reproducing a saved figure in R | Labels and layout in R | Coefficient labels | Node positions | Fonts and other styling | Coefficient positions | Writing figure files from R | Other model inputs | Structural paths | A parameter table | A graph without a fitted model | Separate group diagrams | Troubleshooting | Keeping the analysis and figure together

Packages and example data | CFA: the starting point | SEM: measurement and structural paths | Ordinal CFA | Linear growth | Two-level CFA | Multigroup CFA: one figure per group | EFA with psych | Two-parameter IRT with mirt | Binary Rasch with eRm | A Gaussian mixture with mclust | OpenMx RAM: a fitted one-factor model | A semPlotModel bridge | A bifactor specification without fitting | Saving work across these models