Validation protocol | Corrected p chart | Exact range chart | Double-sampling np chart | u chart | Generalized variance chart | Validation coverage and remaining gaps | References

Motivation | When to correct the p chart | Diagnosing p-chart applicability | Double-sampling np charts | Inspecting a published plan | Average sample size: complete versus curtailed inspection | ARL and ASS as functions of p | Searching for limits | Searching a complete design | Trade-off between detection and sampling effort | Interpreting fractional limits | Constructing the chart | Practical workflow | References

Introduction | Comparable Packages | Feature Comparison | Limit Methodology | High-Quality Processes and Rare Defects | Multivariate Monitoring | Software Architecture | Documentation | When to Choose IQCC | Limitations of IQCC | References

Choosing a dispersion statistic | The relative range | Classical and exact R limits | Reproducing Table 2 | False-alarm risk and subgroup size | Phase I and Phase II with an R chart | S charts | Interpretation and limitations | References

Scope | Input formats | Hotelling T-squared | Generalized variance | Auxiliary trace chart | Practical sequence

What IQCC is for | Numerical functions and chart wrappers | Phase I, Phase II, and reference parameters | Input formats | Corrected p and u charts | Double-sampling np | Range and standard-deviation charts | Hotelling T-squared | Generalized variance and tr(V) | Choosing a method | Inspecting limits and signals | Common errors | Further documentation

Overview | Binomial p chart | Poisson u chart | Double-sampling np chart | Generalized variance chart | Auxiliary trace chart | Published Table 3 | Published Case B: partial reproduction | Validation strategy | References

Purpose | Positioning in the R ecosystem | Current implemented methods | Executed example: corrected p-chart limits | Executed example: DS-np operating characteristics | Executed example: generalized variance | Development principles