BayesPPD: Bayesian Power Prior Design

Bayesian power/type I error calculation and model fitting using the power prior and the normalized power prior for generalized linear models. The Bayesian clinical trial design methodology is described in Chen et al. (2011) <doi:10.1111/j.1541-0420.2011.01561.x>, and Psioda and Ibrahim (2019) <doi:10.1093/biostatistics/kxy009>. The normalized power prior is described in Duan et al. (2006) <doi:10.1002/env.752> and Ibrahim et al. (2015) <doi:10.1002/sim.6728>.

Package details

AuthorYueqi Shen [aut, cre], Matthew A. Psioda [aut], Joseph G. Ibrahim [aut]
MaintainerYueqi Shen <ys137@live.unc.edu>
LicenseMIT + file LICENSE
Version1.0.3
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("BayesPPD")

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BayesPPD documentation built on Sept. 8, 2021, 5:06 p.m.