Adaptive Bayesian Clinical Trial
bayesCT is a R package for simulation and analysis of adaptive
Bayesian randomized controlled trials under a range of trial designs and
outcome types. Currently, it supports Gaussian, binomial, and
time-to-event. The bayesCT package website is available
here. Please note this
package is still under development.
Prior to analyzing your data, the R package needs to be installed. The
easiest way to install bayesCT is through CRAN:
install.packages("bayesCT")
bayesCT can also be downloaded and installed via GitHub. The most
useful if want to download a specific version of the package (which
can be found at https://github.com/thevaachandereng/bayesCT/releases):
devtools::install_github("thevaachandereng/bayesCT@vx.xx.x")# ordevtools::install_version("bayesCT", version = "x.x.x", repos = "http://cran.us.r-project.org")
The latest developmental version of the package can be downloaded and
installed by running:
devtools::install_github("thevaachandereng/bayesCT")
After successful installation, the package must be loaded into the
working space:
library(bayesCT)
See the vignettes for usage instructions and example.
Please note that this project is released with a Contributor Code of
Conduct.
By participating in this project you agree to abide by its terms.
bayesCT is available under the open source GNU General Public
License, version 3.