PPQplan

Process Performance Qualification (PPQ) Plans in Chemistry, Manufacturing and Controls (CMC) Statistical Analysis

CRAN Package

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.

  • Version1.1.0
  • R version≥ 3.2.0
  • LicenseGPL-3
  • Needs compilation?No
  • Languageen-US
  • Last release10/08/2020

Documentation


Team


Insights

This package has been downloaded 154 times in the last 30 days. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 3 times.

Data provided by cranlogs


Binaries


Dependencies

  • Depends1 package
  • Imports2 packages
  • Suggests3 packages