Functions | rl_pp: calculates probability of pass the specification test. | The following four functions are mainly for the sampling plan using statistical intervals with general multiplier | PPQ_pp: calculates the probability of passing some critical quality attributes (CQA) PPQ test using a general constant multiplier k. | PPQ_occurve: plots OC curves for specification test and PPQ plan, with the options of customizing CQA name, unit, number of batch, optimizing the plans, etc. | PPQ_ctplot: Heatmap (or Contour Plot) for PPQ assessment with parameter space. | PPQ_ggplot: Dynamic Heatmap (or Contour Plot) for PPQ assessment with parameter space. | The following three functions are used for sampling plan with prediction interval. | pi_pp: calculates the probability of passing the PPQ test using prediction interval with confidence level $100 \times 1-\alpha$. | pi_occurve: plots OC curves for specification test and PPQ plan, with the options of customizing CQA name, unit, number of batch, optimizing the plans, etc. | pi_ctplot: Heatmap (or Contour Plot) for PPQ assessment with parameter space. | The following three functions are used for sampling plan with tolerance interval. | ti_pp: calculates the probability of passing the PPQ test using one-sided or two-sided tolerance interval with confidence level $100 \times 1-\alpha$. | ti_occurve: plots OC curves for specification test and PPQ plan, with the options of customizing CQA name, unit, number of batch, optimizing the plans, etc. | ti_ctplot: Heatmap (or Contour Plot) for PPQ assessment with parameter space. | The package also provides two functions for a general sampling plan based on lower and/or upper specification limits. | pp: calculate the probability of passing general upper and/or lower specification limit. | heatmap_ly: plot a plain or dynamic heatmap (or contour plot) for a general sampling plan with specification limit.

Preliminaries | Specification test for one release batch | Test for PPQ Batches