Simulation and analysis of Bayesian adaptive clinical trial, incorporates historical data and allows early stopping for futility or early success.
Authors: Thevaa Chandereng, Donald Musgrove, Tarek Haddad, Graeme Hickey, Timothy Hanson and Theodore Lystig
bayesCT is a R package for simulation and analysis of adaptive Bayesian randomzied controlled trials under a range of trial designs and outcome types. Currently, it supports Gaussian and binomial. The time-to-event data will be added shortly. 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:
There are other additional ways to download
bayesCT. The first option is most useful if want to download a specific version of
bayesCT (which can be found at https://github.com/thevaachandereng/bayesCT/releases):
devtools::install_github("thevaachandereng/[email protected]")devtools::install_version("bayesCT", version = "x.x.x", repos = "")
The second option is to download through GitHub:
After successful installation, the package must be loaded into the working space:
See the vignettes for usage instructions and example.
bayesCT is available under the open source GNU General Public License, version 3.