Package: modest 0.3-1

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.

Authors:Philip Pallmann [aut, cre], Fang Wan [aut]

modest_0.3-1.tar.gz
modest_0.3-1.zip(r-4.7-any)modest_0.3-1.zip(r-4.6-any)modest_0.3-1.zip(r-4.5-any)
modest_0.3-1.tgz(r-4.6-any)modest_0.3-1.tgz(r-4.5-any)
modest_0.3-1.tar.gz(r-4.7-any)modest_0.3-1.tar.gz(r-4.6-any)
modest_0.3-1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
modest/json (API)

# Install 'modest' in R:
install.packages('modest', repos = c('https://philippallmann.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/philippallmann/modest/issues

On CRAN:

Conda:

3.30 score 1 stars 9 scripts 787 downloads 1 mentions 2 exports 40 dependencies

Last updated from:91a7eaaa54. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK137
source / vignettesOK139
linux-releaseOK143
macos-releaseOK169
macos-oldrelOK178
windows-develOK80
windows-releaseOK70
windows-oldrelOK74
wasm-releaseOK120

Exports:conductdesign

Dependencies:base64encbslibcachemclicommonmarkdigestevaluatefastmapfontawesomefsgluehighrhtmltoolshtmlwidgetshttpuvjquerylibjsonliteknitrlaterlifecyclemagrittrmemoisemimeotelpromisesR6rappdirsRcpprhandsontablerlangrmarkdownsassshinyshinyBSsourcetoolstinytexwithrxfunxtableyaml

Designing a Model-Based Dose-Escalation Study
Input | 1. Basic settings | 2. Prior information | 3. Simulation model | 4. Escalation & stopping rules | 5. Simulations | Output | 1. Model | 2. Example | 3. Scenarios | 4. Simulations | 5. Downloads | References

Last update: 2017-11-16
Started: 2017-08-04

Evaluating a Model-Based Dose-Escalation Study
Input | 1. Upload design file | 2. Upload data | Output | 1. Design | 2. Dataset | 3. Recommendation | 4. Download | Reference

Last update: 2017-11-16
Started: 2017-08-04