[aut,
cre],
Merck & Co., Inc. [cph]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: | 1.0.0 |
| Depends: | R (≥ 3.2.0) |
| Imports: | tolerance, ggplot2, plotly |
| Suggests: | knitr, rmarkdown |
| Published: | 2019-09-03 |
| Author: | Yalin Zhu [aut,
cre],
Merck & Co., Inc. [cph] |
| Maintainer: | Yalin Zhu <yalin.zhu at merck.com> |
| BugReports: | https://github.com/allenzhuaz/PPQplan/issues |
| License: | MIT + file LICENSE |
| Copyright: | Copyright 2019, Center for Mathematical Sciences, Merck & Co., Inc. |
| URL: | https://allenzhuaz.github.io/PPQplan/, https://github.com/allenzhuaz/PPQplan |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | PPQplan results |
| Reference manual: | PPQplan.pdf |
| Vignettes: |
PPQ Power Assessment Theoretical Results Introduction to PPQplan |
| Package source: | PPQplan_1.0.0.tar.gz |
| Windows binaries: | r-devel: PPQplan_1.0.0.zip, r-release: PPQplan_1.0.0.zip, r-oldrel: PPQplan_1.0.0.zip |
| macOS binaries: | r-release: PPQplan_1.0.0.tgz, r-oldrel: PPQplan_1.0.0.tgz |
| Old sources: | PPQplan archive |
Please use the canonical form https://CRAN.R-project.org/package=PPQplan to link to this page.