Package: adaptDiag 0.1.1-9000

adaptDiag: Bayesian Adaptive Designs for Diagnostic Trials

Simulate clinical trials for diagnostic test devices and evaluate the operating characteristics under an adaptive design with futility assessment determined via the posterior predictive probabilities.

Authors:Graeme L. Hickey [cre, aut], Yongqiang Zhang [aut], Becton, Dickinson and Company [cph]

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

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

Bug tracker:https://github.com/graemeleehickey/adaptdiag/issues

On CRAN:

Conda:

adaptivebayesianbayesian-statisticsclinical-trialsdiagnostic-testsdiagnosticsstatistics

4.60 score 4 stars 5 scripts 319 downloads 3 exports 7 dependencies

Last updated 2 months agofrom:581f338c1e. Checks:8 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKFeb 28 2025
R-4.5-winOKFeb 28 2025
R-4.5-macOKFeb 28 2025
R-4.5-linuxOKFeb 28 2025
R-4.4-winOKFeb 28 2025
R-4.4-macOKFeb 28 2025
R-4.3-winOKFeb 28 2025
R-4.3-macOKFeb 28 2025

Exports:binom_sample_sizemulti_trialsummarise_trials

Dependencies:codetoolsdoParallelextraDistrforeachiteratorspbmcapplyRcpp

Example: GeneSearch Breast Lymph Node Assay

Rendered fromjulian.Rmdusingknitr::rmarkdownon Feb 28 2025.

Last update: 2021-08-14
Started: 2021-06-13

Type I error control

Rendered fromtype1-error.Rmdusingknitr::rmarkdownon Feb 28 2025.

Last update: 2021-06-27
Started: 2021-06-27