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adaptDiag  

Bayesian Adaptive Designs for Diagnostic Trials
View on CRAN: Click here


Download and install adaptDiag package within the R console
Install from CRAN:
install.packages("adaptDiag")

Install from Github:
library("remotes")
install_github("cran/adaptDiag")

Install by package version:
library("remotes")
install_version("adaptDiag", "0.1.1")



Attach the package and use:
library("adaptDiag")
Maintained by
Graeme L. Hickey
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-08-17
Latest Update: 2021-08-17
Description:
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.
How to cite:
Graeme L. Hickey (2021). adaptDiag: Bayesian Adaptive Designs for Diagnostic Trials. R package version 0.1.1, https://cran.r-project.org/web/packages/adaptDiag. Accessed 26 Oct. 2026.
Previous versions and publish date:
(2026-07-09 07:16), 0.1.0 (2021-08-17 09:20)
Other packages that cited adaptDiag R package
View adaptDiag citation profile
Other R packages that adaptDiag depends, imports, suggests or enhances
Complete documentation for adaptDiag
Functions, R codes and Examples using the adaptDiag R package
Some associated functions: binom_sample_size . multi_trial . summarise_trials . 
Some associated R codes: analysis.R . binom_test_power.R . multi_trial.R . sim_data.R . single_trial.R . summarise_trials.R .  Full adaptDiag package functions and examples
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