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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")

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Install

install.packages('PPQplan')

Monthly Downloads

214

Version

1.1.0

License

GPL-3

Issues

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Maintainer

Yalin Zhu

Last Published

October 8th, 2020

Functions in PPQplan (1.1.0)

pi_ctplot

Heatmap/Contour Plot for Assessing Power of the CQA PPQ Plan Using Prediction Interval.
heatmap_ly

A General Heatmap for Dynamically Assessing Power of the Sampling Plan Using a General Specification Limit.
pi_occurve

Operating Characteristic (OC) Curves for the CQA PPQ Plan using Prediction Interval.
rl_pp

Probability of Passing Specification Test for a Release Batch
PPQ_pp

Probability of Passing PPQ Test Using General Multiplier
PPQ_occurve

Operating Characteristic (OC) Curves for the CQA PPQ Plan Using General Multiplier.
PPQ_ggplot

Heatmap/Contour Plot for Dynamically Assessing Power of the CQA PPQ Plan Using General Multiplier.
PPQ_ctplot

Heatmap/Contour Plot for Assessing Power of the CQA PPQ Plan Using General Multiplier.
pi_pp

Probability of Passing PPQ Test using Prediction Interval
pp

Probability of Passing General Upper and/or Lower Specification Limit
k_factor

Estimating K-factors for Tolerance Intervals Based on Howe's Method
ti_ctplot

Heatmap/Contour Plot for Assessing Power of the PPQ Plan using Tolerance Interval.
ti_occurve

Operating Characteristic (OC) Curves for the PPQ Plan using Tolerance Interval.
ti_pp

Probability of Passing PPQ Test using Tolerance Interval