bayesDP: Implementation of the Bayesian Discount Prior Approach for Clinical Trials

Functions for data augmentation using the Bayesian discount prior method for single arm and two-arm clinical trials, as described in Haddad et al. (2017) <doi:10.1080/10543406.2017.1300907>. The discount power prior methodology was developed in collaboration with the The Medical Device Innovation Consortium (MDIC) Computer Modeling & Simulation Working Group.

Version: 1.3.6
Depends: R (≥ 3.6.0), ggplot2, methods, survival
Imports: MCMCpack, Rcpp
LinkingTo: Rcpp, RcppArmadillo
Suggests: covr, knitr, rmarkdown, testthat
Published: 2022-01-30
DOI: 10.32614/CRAN.package.bayesDP
Author: Shawn Balcome [aut], Donnie Musgrove [aut], Tarek Haddad [aut], Graeme L. Hickey ORCID iD [cre, aut], Christopher Jackson [ctb] (For the ppexp R code that was ported to C++.)
Maintainer: Graeme L. Hickey <graemeleehickey at>
License: GPL-3 | file LICENSE
NeedsCompilation: yes
Materials: README NEWS
In views: Bayesian
CRAN checks: bayesDP results


Reference manual: bayesDP.pdf
Vignettes: Binomial Count Estimation
Linear Regression Estimation
Normal Mean Estimation
Survival Outcome Estimation


Package source: bayesDP_1.3.6.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): bayesDP_1.3.6.tgz, r-oldrel (arm64): bayesDP_1.3.6.tgz, r-release (x86_64): bayesDP_1.3.6.tgz, r-oldrel (x86_64): bayesDP_1.3.6.tgz
Old sources: bayesDP archive

Reverse dependencies:

Reverse imports: bayesCT


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