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 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")
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]")
# or
devtools::install_version("bayesCT", version = "x.x.x", repos = "http://cran.us.r-project.org")
The second option is to download through GitHub:
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.