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PPQplan  

Process Performance Qualification (PPQ) Plans in Chemistry, Manufacturing and Controls (CMC) Statistical Analysis
View on CRAN: Click here


Download and install PPQplan package within the R console
Install from CRAN:
install.packages("PPQplan")

Install from Github:
library("remotes")
install_github("cran/PPQplan")

Install by package version:
library("remotes")
install_version("PPQplan", "1.1.0")



Attach the package and use:
library("PPQplan")
Maintained by
Yalin Zhu
[Scholar Profile | Author Map]
First Published: 2018-06-15
Latest Update: 2020-10-08
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.
How to cite:
Yalin Zhu (2018). PPQplan: Process Performance Qualification (PPQ) Plans in Chemistry, Manufacturing and Controls (CMC) Statistical Analysis. R package version 1.1.0, https://cran.r-project.org/web/packages/PPQplan. Accessed 05 Apr. 2025.
Previous versions and publish date:
0.1.0 (2018-06-15 17:26), 1.0.0 (2019-09-03 18:20)
Other packages that cited PPQplan R package
View PPQplan citation profile
Other R packages that PPQplan depends, imports, suggests or enhances
Complete documentation for PPQplan
Functions, R codes and Examples using the PPQplan R package
Some associated functions: PPQ_ctplot . PPQ_ggplot . PPQ_occurve . PPQ_pp . heatmap_ly . k_factor . pi_ctplot . pi_occurve . pi_pp . pp . rl_pp . ti_ctplot . ti_occurve . ti_pp . 
Some associated R codes: PPQ_ctplot.R . PPQ_ggplot.R . PPQ_occurve.R . PPQ_pp.R . global_var.R . heatmap_ly.R . k_factor.R . pi_ctplot.R . pi_occurve.R . pi_pp.R . pp.R . rl_pp.R . ti_ctplot.R . ti_occurve.R . ti_pp.R .  Full PPQplan package functions and examples
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