Package: PPQplan 1.1.0
Yalin Zhu
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.
Authors:
PPQplan_1.1.0.tar.gz
PPQplan_1.1.0.zip(r-4.5)PPQplan_1.1.0.zip(r-4.4)PPQplan_1.1.0.zip(r-4.3)
PPQplan_1.1.0.tgz(r-4.4-any)PPQplan_1.1.0.tgz(r-4.3-any)
PPQplan_1.1.0.tar.gz(r-4.5-noble)PPQplan_1.1.0.tar.gz(r-4.4-noble)
PPQplan_1.1.0.tgz(r-4.4-emscripten)PPQplan_1.1.0.tgz(r-4.3-emscripten)
PPQplan.pdf |PPQplan.html✨
PPQplan/json (API)
NEWS
| # Install 'PPQplan' in R: |
| install.packages('PPQplan', repos = c('https://allenzhuaz.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/allenzhuaz/ppqplan/issues
biostatisticspharmaceuticalssampling-methods
Last updated 3 years agofrom:c82a03aed6. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 03 2024 |
| R-4.5-win | OK | Nov 03 2024 |
| R-4.5-linux | OK | Nov 03 2024 |
| R-4.4-win | OK | Nov 03 2024 |
| R-4.4-mac | OK | Nov 03 2024 |
| R-4.3-win | OK | Nov 03 2024 |
| R-4.3-mac | OK | Nov 03 2024 |
Exports:heatmap_lyk_factorpi_ctplotpi_occurvepi_ppppPPQ_ctplotPPQ_ggplotPPQ_occurvePPQ_pprl_ppti_ctplotti_occurveti_pp
Dependencies:askpassbase64encbslibcachemclicolorspacecpp11crosstalkcurldata.tabledigestdplyrevaluatefansifarverfastmapfontawesomefsgenericsggplot2gluegtablehighrhtmltoolshtmlwidgetshttrisobandjquerylibjsonliteknitrlabelinglaterlatticelazyevallifecyclemagrittrMASSMatrixmemoisemgcvmimemunsellnlmeopensslpillarpkgconfigplotlypromisespurrrR6rappdirsRColorBrewerRcpprlangrmarkdownsassscalesstringistringrsystibbletidyrtidyselecttinytexutf8vctrsviridisLitewithrxfunyaml
Introduction to Process Performance Qualification (PPQ) Sampling Plan R Package
Rendered fromPPQplan-vignette.Rmdusingknitr::rmarkdownon Nov 03 2024.Last update: 2020-10-08
Started: 2018-06-15
PPQ Power Assessment Theoretical Results
Rendered fromPPQnote.Rmdusingknitr::rmarkdownon Nov 03 2024.Last update: 2020-10-08
Started: 2019-08-28
