The data | A first attempt: classical I-MR | The right tool: regression chart with phase detection | Why log-log? | Methodological caveats | A note on the package's history | References

A simple example: linear drift | Sigma from residuals | Phase detection | A worked example with many phases and visible violations | The model menu | A growth-curve example | Interpreting violations | References

Closed-form benchmarks | Adding rules sharpens detection | A quantitative comparison: WE-7 vs Nelson 2 | Beyond normal residuals | References

When the Shewhart chart is too slow | EWMA — Exponentially Weighted Moving Average | Choosing lambda | CUSUM — Cumulative Sum | Choosing k and h | Phase II monitoring | Which one should I use? | References

When univariate charts are not enough | What the chart computes | Diagnosing an alarm with contributions | Phase II workflow | When not to reach for a Hotelling chart | References

p chart with variable n | c chart and Poisson honesty | np chart for constant n | u chart for variable exposure | References

A textbook example | Interaction with shewhart_regression(model = "auto") | When not to transform | References

Five minutes, three charts | 1. An I-MR chart on individual measurements | 2. An Xbar-R chart on a subgrouped process | 3. A c chart on defect counts | Working with the result | Phase I and Phase II | A roadmap for the rest of the documentation | References

A worked example | Phase I: calibration | Phase II: monitoring | Why the trim step matters | When this matters most | References

What the panels show | A diagnosis-driven fix: Box-Cox | When non-normality is a feature, not a bug | References

When to use which | I-MR | Robust alternatives | Xbar-R | Xbar-S | Reading the results | References