Introduction | Defining and Refining Strata | Optimum Allocation | Selecting IDs to Sample | Adaptive, Multi-Wave Sampling | Examples: Using optimall to Determine Study Design and Sample Data | Overview | Data Set Up | Example 1: Defining Sample Strata | Example 2: Create an Initial Phase 2 Subsample: Phase-IIa | Example 3: Optimally Allocate 2nd and 3rd Waves of Phase 2 Sample | Phase-IIc | Splitting Strata Efficiently with optimall_shiny() | References

Introduction | Theoretical background | Design-based estimation: IPW and Generalized Raking in a Single Phase, Wave | Special considerations for Two-phase sampling | Two-phase, multi-wave sampling | Estimation approaches after two-phase, multi-wave sampling | 1. Post-stratification | 2. Wave-specific conditional probabilities | How to implement each strategy with optimall and survey | Post-stratification with raking | Comparing estimation methods through simulation | References | Appendix

Overview | Format | Getting Started with the Multiwave Object | Access and Write slots | View Summary Diagram of Survey | Call optimall functions with fewer arguments | Example Wave Workflow Using optimall with a Multiwave Object | Conclusion

Introduction | Uploading Data | Splitting Strata | Output | Confirming Splits | Implementing Splits in R | Error Messages