Tuning Parameters | Parameter Objects | Numeric Parameters | Discrete Parameters | Creating Novel Parameters | Unknown Values | Parameter Sets | Parameter Grids

Pre-processing | Model Fitting | Post-processing

Generalized estimator equations (GEE) | Generalized least squares | Linear mixed effects via lme | Models using lmer, glmer, and stan_glmer | Using tidymodels workflows | Other tips

Random Resampling | Initial Splits | V-Fold Cross-Validation | Monte-Carlo Cross-Validation | Bootstrap Resampling | Validation Set | Stratified Resampling | Grouped Resampling | Time-Based Resampling

Terminology | rset Objects Contain Many Resamples | Individual Resamples are rsplit Objects

Introduction | Model Assessment | Using the Bootstrap to Make Comparisons | Bootstrap Estimates of Model Coefficients | Keeping Tidy

Introduction | What's Our Model? | Model Fitting | Model Constructor | Model Fitting Implementation | Model Fitting Bridge | User Facing Fitting Function | Adding an Intercept Option | Model Prediction | Prediction Implementation | Prediction Bridge | User Facing Prediction Function | Final Testing

Introduction | Connection with mold() | Outcomes | Validation | Column existence | Column types | Lossless conversion | Recipes and forge() | A note on recipes

Introduction | A First Example | blueprints | Formulas | Intercepts | Dummy variables | Multivariate outcomes | XY | Vector outcomes | Recipe