CRAN/E | BayesPPD

BayesPPD

Bayesian Power Prior Design

Installation

About

Bayesian power/type I error calculation and model fitting using the power prior and the normalized power prior for generalized linear models. Detailed examples of applying the package are available at doi:10.32614/RJ-2023-016. 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.

Key Metrics

Version 1.1.2
R ≥ 3.5.0
Published 2023-11-25 156 days ago
Needs compilation? yes
License GPL (≥ 3)
CRAN checks BayesPPD results

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Maintainer

Maintainer

Yueqi Shen

ys137@live.unc.edu

Authors

Yueqi Shen

aut / cre

Matthew A. Psioda

aut

Joseph G. Ibrahim

aut

Material

NEWS
Reference manual
Package source

Vignettes

bayesppd-vignette

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

BayesPPD archive

Depends

R ≥ 3.5.0

Imports

Rcpp

Suggests

rmarkdown
knitr
testthat ≥ 3.0.0
ggplot2
kableExtra

LinkingTo

Rcpp
RcppArmadillo
RcppEigen
RcppNumerical