Assessment for statisticallybased PPQ sampling plan, including calculating the passing probability, optimizing the baseline and high performance cutoff points, visualizing the PPQ plan and power dynamically. The analytical idea is based on the simulation methods from the textbook Burdick, R. K., LeBlond, D. J., Pfahler, L. B., Quiroz, J., Sidor, L., Vukovinsky, K., & Zhang, L. (2017). Statistical Methods for CMC Applications. In Statistical Applications for Chemistry, Manufacturing and Controls (CMC) in the Pharmaceutical Industry (pp. 227250). Springer, Cham.
Package details 


Author  Yalin Zhu [aut, cre] (<https://orcid.org/0000000338308660>), Merck & Co., Inc. [cph] 
Maintainer  Yalin Zhu <yalin.zhu@merck.com> 
License  GPL3 
Version  1.1.0 
URL  https://allenzhuaz.github.io/PPQplan/ https://github.com/allenzhuaz/PPQplan 
Package repository  View on CRAN 
Installation 
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