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:Yalin Zhu [aut, cre], Merck & Co., Inc. [cph]

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-4.5-any)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

Pkgdown site:https://allenzhuaz.github.io

On CRAN:

Conda:

biostatisticspharmaceuticalssampling-methods

4.11 score 1 stars 13 scripts 198 downloads 14 exports 70 dependencies

Last updated 3 years agofrom:c82a03aed6. Checks:8 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 03 2025
R-4.5-winOKMar 03 2025
R-4.5-macOKMar 03 2025
R-4.5-linuxOKMar 03 2025
R-4.4-winOKMar 03 2025
R-4.4-macOKMar 03 2025
R-4.3-winOKMar 03 2025
R-4.3-macOKMar 03 2025

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

Yalin Zhu ([email protected])

Rendered fromPPQplan-vignette.Rmdusingknitr::rmarkdownon Mar 03 2025.

Last update: 2020-10-08
Started: 2018-06-15

PPQ Power Assessment Theoretical Results

Yalin Zhu ([email protected])

Rendered fromPPQnote.Rmdusingknitr::rmarkdownon Mar 03 2025.

Last update: 2020-10-08
Started: 2019-08-28