modest: Model-Based Dose-Escalation Trials

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
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

Documentation:

Reference manual: modest.pdf
Vignettes: Evaluating a Model-Based Dose-Escalation Study
Designing a Model-Based Dose-Escalation Study

Downloads:

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
Old sources: modest archive

Linking:

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