Package: PPQplan
Type: Package
Title: Process Performance Qualification (PPQ) Plans in Chemistry,
        Manufacturing and Controls (CMC) Statistical Analysis
Version: 1.1.0
Authors@R: c(
    person("Yalin", "Zhu", , "yalin.zhu@merck.com", role = c("aut", "cre"), 
      comment = c(ORCID = "0000-0003-3830-8660")), 
    person("Merck & Co., Inc.", role = c("cph"))
    )
Maintainer: Yalin Zhu <yalin.zhu@merck.com>
Depends: R (>= 3.2.0)
Imports: ggplot2, plotly
Description: 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.
License: MIT + file LICENSE
Suggests: knitr, rmarkdown, devtools
VignetteBuilder: knitr
NeedsCompilation: no
RoxygenNote: 7.1.0
Roxygen: list(markdown = TRUE)
Encoding: UTF-8
URL: https://allenzhuaz.github.io/PPQplan/,
        https://github.com/allenzhuaz/PPQplan
BugReports: https://github.com/allenzhuaz/PPQplan/issues
Language: en-US
Config/pak/sysreqs: cmake make libicu-dev libuv1-dev libssl-dev
Repository: https://allenzhuaz.r-universe.dev
Date/Publication: 2021-11-02 01:05:46 UTC
RemoteUrl: https://github.com/allenzhuaz/ppqplan
RemoteRef: HEAD
RemoteSha: c82a03aed629b4880e8c9ee17f49fe78b64883c5
Packaged: 2026-10-14 06:47:37 UTC; root
Author: Yalin Zhu [aut, cre] (ORCID: <https://orcid.org/0000-0003-3830-8660>),
  Merck & Co., Inc. [cph]