The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.
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.”
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")These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.