User-friendly Shiny apps for designing and evaluating phase I cancer clinical trials, with the aim to estimate the maximum tolerated dose (MTD) of a novel drug, using a Bayesian decision procedure based on logistic regression.
| Version: | 0.3-1 |
| Imports: | knitr,rhandsontable,shiny,shinyBS |
| Published: | 2017-11-16 |
| DOI: | 10.32614/CRAN.package.modest |
| Author: | Philip Pallmann [aut, cre], Fang Wan [aut] |
| Maintainer: | Philip Pallmann <pallmannp at cardiff.ac.uk> |
| BugReports: | https://github.com/PhilipPallmann/modest/issues/ |
| License: | GPL-2 |
| NeedsCompilation: | no |
| Citation: | modest citation info |
| Materials: | NEWS |
| CRAN checks: | modest results |
| Reference manual: | modest.html ,modest.pdf |
| Vignettes: | Evaluating a Model-Based Dose-Escalation Study (source,R code) Designing a Model-Based Dose-Escalation Study (source,R code) |
| Package source: | modest_0.3-1.tar.gz |
| Windows binaries: | r-devel:modest_0.3-1.zip, r-release:modest_0.3-1.zip, r-oldrel:modest_0.3-1.zip |
| macOS binaries: | r-release (arm64):modest_0.3-1.tgz, r-oldrel (arm64):modest_0.3-1.tgz, r-release (x86_64):modest_0.3-1.tgz, r-oldrel (x86_64):modest_0.3-1.tgz |
| Old sources: | modest archive |
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