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bayesCT  

Simulation and Analysis of Adaptive Bayesian Clinical Trials
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("bayesCT", "0.99.3")



Attach the package and use:
library("bayesCT")
Maintained by
Thevaa Chandereng
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-01-30
Latest Update:
Description:
Simulation and analysis of Bayesian adaptive clinical trials for binomial, Gaussian, and time-to-event data types, incorporates historical data and allows early stopping for futility or early success. The package uses novel and efficient Monte Carlo methods for estimating Bayesian posterior probabilities, evaluation of loss to follow up, and imputation of incomplete data. The package has the functionality for dynamically incorporating historical data into the analysis via the power prior or non-informative priors.
How to cite:
Thevaa Chandereng (2019). bayesCT: Simulation and Analysis of Adaptive Bayesian Clinical Trials. R package version 0.99.3, https://cran.r-project.org/web/packages/bayesCT. Accessed 12 Oct. 2026.
Previous versions and publish date:
(2026-07-09 07:20), 0.99.0 (2019-01-30 19:13), 0.99.1 (2019-03-13 19:33), 0.99.2 (2020-02-09 12:50), 0.99.3 (2020-07-01 11:30)
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Complete documentation for bayesCT
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