Package: adaptDiag 0.1.0

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'))

Peer review:

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

On CRAN:

adaptivebayesianbayesian-statisticsclinical-trialsdiagnostic-testsdiagnosticsstatistics

3 exports 4 stars 1.12 score 7 dependencies 5 scripts 459 downloads

Last updated 3 years agofrom:a4d5d54cae. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 11 2024
R-4.5-winOKSep 11 2024
R-4.5-linuxOKSep 11 2024
R-4.4-winOKSep 11 2024
R-4.4-macOKSep 11 2024
R-4.3-winOKSep 11 2024
R-4.3-macOKSep 11 2024

Exports:binom_sample_sizemulti_trialsummarise_trials

Dependencies:codetoolsdoParallelextraDistrforeachiteratorspbmcapplyRcpp

Example: GeneSearch Breast Lymph Node Assay

Rendered fromjulian.Rmdusingknitr::rmarkdownon Sep 11 2024.

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

Type I error control

Rendered fromtype1-error.Rmdusingknitr::rmarkdownon Sep 11 2024.

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