bayesDP: Tools for the Bayesian Discount Prior Function

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: 1.3.4
Depends: R (≥ 3.6.0), ggplot2, survival, methods
Imports: Rcpp, MCMCpack
LinkingTo: Rcpp, RcppArmadillo
Suggests: testthat, knitr, rmarkdown, covr
Published: 2021-01-06
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
CRAN checks: bayesDP results

Downloads:

Reference manual: bayesDP.pdf
Vignettes: Binomial Count Estimation
Linear Regression Estimation
Normal Mean Estimation
Survival Outcome Estimation
Package source: bayesDP_1.3.4.tar.gz
Windows binaries: r-devel: bayesDP_1.3.4.zip, r-devel-UCRT: bayesDP_1.3.4.zip, r-release: bayesDP_1.3.4.zip, r-oldrel: bayesDP_1.3.4.zip
macOS binaries: r-release (arm64): bayesDP_1.3.4.tgz, r-release (x86_64): bayesDP_1.3.4.tgz, r-oldrel: bayesDP_1.3.4.tgz
Old sources: bayesDP archive

Reverse dependencies:

Reverse imports: bayesCT

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