PPQplan: Process Performance Qualification (PPQ) Plans in Chemistry, Manufacturing and Controls (CMC) Statistical Analysis

Assessment for statistically-based 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. 227-250). Springer, Cham."

Version: 0.1.0
Imports: tolerance, ggplot2, plotly
Suggests: knitr, rmarkdown
Published: 2018-06-15
Author: Yalin Zhu
Maintainer: Yalin Zhu <yalin.zhu at merck.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
Copyright: Copyright 2018, Center for Mathematical Sciences, Merck & Co., Inc.
NeedsCompilation: no
CRAN checks: PPQplan results

Downloads:

Reference manual: PPQplan.pdf
Vignettes: Vignette Title
Package source: PPQplan_0.1.0.tar.gz
Windows binaries: r-devel: PPQplan_0.1.0.zip, r-release: PPQplan_0.1.0.zip, r-oldrel: PPQplan_0.1.0.zip
OS X binaries: r-release: PPQplan_0.1.0.tgz, r-oldrel: PPQplan_0.1.0.tgz

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