1. Sparse or grouped? A constructed example | 2. The EF read-out by group | 3. Is the LINK verdict real? De-aliasing | 4. Monitoring a deployed model with edge.stream() | 5. A ridge fit: shrink.gof() and calm.gof()

Why a toolbox | The example data | One call: the whole battery | Sparse or grouped? Let the package show you both | The directed tests on their own | Where the misfit sits: the EDGE picture | External validation of frozen predictions | Localizing the misfit | Monitoring a deployed model | Beyond the battery | Penalised (ridge) fits | Frozen-weight and pretrained tests | Building your own | Going further | References

Introduction | Background and Motivation | Installation and Loading | Basic Usage | Understanding the Test Statistic | Comparing with Different Group Numbers | Comparison with Hosmer-Lemeshow Test | New in 2.0.0: Directed test, ensemble, and the full battery | Powerful, but not liberal | Power Analysis Example | Handling Grouped Data (Original Farrington Test) | Practical Guidelines | When to Use Each Test Mode | Choosing the Number of Groups | Interpreting Results | Advantages over Hosmer-Lemeshow Test | Limitations and Considerations | References