Package: MinEDfind 0.1.3

Chia-Wei Hsu

MinEDfind: A Bayesian Design for Minimum Effective Dosing-Finding Trial

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.

Authors:Chia-Wei Hsu, Fang Wang, Rongji Mu, Haitao Pan, Guoying Xu

MinEDfind_0.1.3.tar.gz
MinEDfind_0.1.3.tar.gz(r-4.5-noble)MinEDfind_0.1.3.tar.gz(r-4.4-noble)
MinEDfind_0.1.3.tgz(r-4.4-emscripten)MinEDfind_0.1.3.tgz(r-4.3-emscripten)
MinEDfind.pdf |MinEDfind.html✨
MinEDfind/json (API)

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

Peer review:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 106 downloads 4 exports 30 dependencies

Last updated 5 years agofrom:34e4013071. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKDec 13 2024
R-4.5-linuxOKDec 13 2024

Exports:get.OC.MinEDnext.MinEDplot.MinEDselect.MinED

Dependencies:clicolorspacefansifarverggplot2gluegridExtragtableIsoisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigR6RColorBrewerrlangscalestibbleutf8vctrsviridisLitewithr