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.
Estimate coefficient of variance percent (CV%) for any arbitrary distribution, including some built-in estimates for commonly-used transformations in pharmacometrics. Methods are described in various sources, but applied here as summarized in: Prybylski, (2024) <doi:10.1007/s40262-023-01343-2>.
Version: | 0.0.1.0 |
Suggests: | testthat (≥ 3.0.0) |
Published: | 2024-03-26 |
DOI: | 10.32614/CRAN.package.pmxcv |
Author: | John Prybylski [aut, cre] |
Maintainer: | John Prybylski <john.prybylski at pfizer.com> |
License: | MIT + file LICENSE |
NeedsCompilation: | no |
Citation: | pmxcv citation info |
Materials: | README |
CRAN checks: | pmxcv results |
Reference manual: | pmxcv.pdf |
Package source: | pmxcv_0.0.1.0.tar.gz |
Windows binaries: | r-devel: pmxcv_0.0.1.0.zip, r-release: pmxcv_0.0.1.0.zip, r-oldrel: pmxcv_0.0.1.0.zip |
macOS binaries: | r-release (arm64): pmxcv_0.0.1.0.tgz, r-oldrel (arm64): pmxcv_0.0.1.0.tgz, r-release (x86_64): pmxcv_0.0.1.0.tgz, r-oldrel (x86_64): pmxcv_0.0.1.0.tgz |
Please use the canonical form https://CRAN.R-project.org/package=pmxcv to link to this page.
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.