Package: BayesAT 0.1.0

BayesAT: Bayesian Adaptive Trial

Bayesian adaptive trial algorithm implements multiple-stage interim analysis. Package includes data generating function, and Bayesian hypothesis testing function.

Authors:Yuan Zhong [aut, cre], Zeynep Baskurt [aut], Wei Xu [aut]

BayesAT_0.1.0.tar.gz
BayesAT_0.1.0.zip(r-4.7-any)BayesAT_0.1.0.zip(r-4.6-any)BayesAT_0.1.0.zip(r-4.5-any)
BayesAT_0.1.0.tgz(r-4.6-any)BayesAT_0.1.0.tgz(r-4.5-any)
BayesAT_0.1.0.tar.gz(r-4.7-any)BayesAT_0.1.0.tar.gz(r-4.6-any)
BayesAT_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
BayesAT/json (API)

# Install 'BayesAT' in R:
install.packages('BayesAT', repos = c('https://hermitz9.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

Conda:

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

3.00 score 253 downloads 3 exports 0 dependencies

Last updated from:ced020e3fb. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK101
source / vignettesOK196
linux-releaseOK101
macos-releaseOK90
macos-oldrelOK78
windows-develOK64
windows-releaseOK61
windows-oldrelOK57
wasm-releaseOK71

Exports:Bayes_testBayesATSimulate_Enroll

Dependencies:

Bayesian Inference and Bayesian Adaptive Trial Examples
Introduction | Simulation Examples | Bayesian inference | Interim analysis
Rendered fromBayesianInferece.Rmdusingknitr::rmarkdown

Last update: 2025-02-05
Started: 2025-02-05

Simulation of Paitient Enrollment and Survival Data
Introduction | Simulation Examples | Equal numbers of patients enroll | Unequal numbers of patients enroll | Multiple streams of data generating
Rendered fromSimulationEnroll.Rmdusingknitr::rmarkdown

Last update: 2025-02-05
Started: 2025-02-05