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
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modest.pdf |modest.html✨
modest/json (API)
NEWS

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

Peer review:

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

On CRAN:

3.30 score 9 scripts 675 downloads 1 mentions 2 exports 40 dependencies

Last updated 7 years agofrom:91a7eaaa54. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 20 2024
R-4.5-winOKNov 20 2024
R-4.5-linuxOKNov 20 2024
R-4.4-winOKNov 20 2024
R-4.4-macOKNov 20 2024
R-4.3-winOKNov 20 2024
R-4.3-macOKNov 20 2024

Exports:conductdesign

Dependencies:base64encbslibcachemclicommonmarkcrayondigestevaluatefastmapfontawesomefsgluehighrhtmltoolshtmlwidgetshttpuvjquerylibjsonliteknitrlaterlifecyclemagrittrmemoisemimepromisesR6rappdirsRcpprhandsontablerlangrmarkdownsassshinyshinyBSsourcetoolstinytexwithrxfunxtableyaml

Designing a Model-Based Dose-Escalation Study

Philip Pallmann

Rendered fromDesign.Rmdusingknitr::rmarkdownon Nov 20 2024.

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

Evaluating a Model-Based Dose-Escalation Study

Philip Pallmann

Rendered fromConduct.Rmdusingknitr::rmarkdownon Nov 20 2024.

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