The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
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[@]dogado.de.
The nonparametric two-stage Bayesian adaptive design is a novel phase II clinical trial design for finding the minimum effective dose (MinED). This design is motivated by the top priority and concern of clinicians when testing a new drug, which is to effectively treat patients and minimize the chance of exposing them to subtherapeutic or overly toxic doses. It is used to design single-agent trials.
| Version: | 0.1.3 |
| Depends: | Iso, ggplot2, gridExtra |
| Published: | 2020-05-05 |
| DOI: | 10.32614/CRAN.package.MinEDfind |
| Author: | Chia-Wei Hsu, Fang Wang, Rongji Mu, Haitao Pan, Guoying Xu |
| Maintainer: | Chia-Wei Hsu <Chia-Wei.Hsu at stjude.org> |
| License: | GPL-2 |
| NeedsCompilation: | no |
| In views: | ClinicalTrials |
| CRAN checks: | MinEDfind results |
| Reference manual: | MinEDfind.pdf |
| Package source: | MinEDfind_0.1.3.tar.gz |
| Windows binaries: | r-devel: MinEDfind_0.1.3.zip, r-release: MinEDfind_0.1.3.zip, r-oldrel: MinEDfind_0.1.3.zip |
| macOS binaries: | r-release (arm64): MinEDfind_0.1.3.tgz, r-oldrel (arm64): MinEDfind_0.1.3.tgz, r-release (x86_64): MinEDfind_0.1.3.tgz, r-oldrel (x86_64): MinEDfind_0.1.3.tgz |
Please use the canonical form https://CRAN.R-project.org/package=MinEDfind 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.
Health stats visible at Monitor.