bayesCT: Simulation and Analysis of Adaptive Bayesian Clinical Trials

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.

Package details

AuthorThevaa Chandereng [aut, cre, cph] (<>), Donald Musgrove [aut, cph], Tarek Haddad [aut, cph], Graeme Hickey [aut, cph], Timothy Hanson [aut, cph], Theodore Lystig [aut, cph]
MaintainerThevaa Chandereng <>
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:

Try the bayesCT package in your browser

Any scripts or data that you put into this service are public.

bayesCT documentation built on July 2, 2020, 2:34 a.m.