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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 gmail.com>
BugReports: https://github.com/graemeleehickey/bayesDP/issues
License: GPL-3 | file LICENSE
URL: https://github.com/graemeleehickey/bayesDP
NeedsCompilation: yes
Materials: README NEWS
In views: Bayesian
CRAN checks: bayesDP results

Documentation:

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

Downloads:

Package source: bayesDP_1.3.6.tar.gz
Windows binaries: r-devel: bayesDP_1.3.6.zip, r-release: bayesDP_1.3.6.zip, r-oldrel: bayesDP_1.3.6.zip
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

Linking:

Please use the canonical form https://CRAN.R-project.org/package=bayesDP to link to this page.

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.
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