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/ PPQplan Public

❗ This is a read-only mirror of the CRAN R package repository. PPQplan — Process Performance Qualification (PPQ) Plans in Chemistry, Manufacturing and Controls (CMC) Statistical Analysis. Homepage: https://allenzhuaz.github.io/PPQplan/https://github.com/allenzhuaz/PPQplan Report bugs for this package: https://github.com/allenzhuaz/PPQplan/issues

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Overview

This package provides several assessment functions 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.”

Installation

Open R console, install the package directly from CRAN:

install.packages("PPQplan")
library(PPQplan)

Or install the development version from GitHub, first make sure to install the devtools package:

# install.packages("devtools")
devtools::install_github("allenzhuaz/PPQplan")

About

❗ This is a read-only mirror of the CRAN R package repository. PPQplan — Process Performance Qualification (PPQ) Plans in Chemistry, Manufacturing and Controls (CMC) Statistical Analysis. Homepage: https://allenzhuaz.github.io/PPQplan/https://github.com/allenzhuaz/PPQplan Report bugs for this package: https://github.com/allenzhuaz/PPQplan/issues

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