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-4.7)PPQplan_1.1.0.zip(r-4.6)PPQplan_1.1.0.zip(r-4.5)
PPQplan_1.1.0.tgz(r-4.6-any)PPQplan_1.1.0.tgz(r-4.5-any)
PPQplan_1.1.0.tar.gz(r-4.7-any)PPQplan_1.1.0.tar.gz(r-4.6-any)
PPQplan_1.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
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/docs site:https://allenzhuaz.github.io

On CRAN:

Conda:

biostatisticspharmaceuticalssampling-methods

4.11 score 1 stars 13 scripts 231 downloads 14 exports 64 dependencies

Last updated from:c82a03aed6. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK166
source / vignettesOK262
linux-release-x86_64OK155
macos-release-arm64OK98
macos-oldrel-arm64OK92
windows-develOK93
windows-releaseOK74
windows-oldrelOK92
wasm-releaseOK131

Exports:heatmap_lyk_factorpi_ctplotpi_occurvepi_ppppPPQ_ctplotPPQ_ggplotPPQ_occurvePPQ_pprl_ppti_ctplotti_occurveti_pp

Dependencies:askpassbase64encbslibcachemclicpp11crosstalkcurldata.tabledigestdplyrevaluatefarverfastmapfontawesomefsgenericsggplot2gluegtablehighrhtmltoolshtmlwidgetshttrisobandjquerylibjsonliteknitrlabelinglaterlazyevallifecyclemagrittrmemoisemimeopensslotelpillarpkgconfigplotlypromisespurrrR6rappdirsRColorBrewerRcpprlangrmarkdownS7sassscalesstringistringrsystibbletidyrtidyselecttinytexutf8vctrsviridisLitewithrxfunyaml

Introduction to Process Performance Qualification (PPQ) Sampling Plan R Package

Yalin Zhu ([email protected])

Rendered fromPPQplan-vignette.Rmdusingknitr::rmarkdownon May 17 2026.

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

PPQ Power Assessment Theoretical Results

Yalin Zhu ([email protected])

Rendered fromPPQnote.Rmdusingknitr::rmarkdownon May 17 2026.

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