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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/bayesCT@vx.xx.x")
# 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.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.