CRAN/E | BayesPPDSurv

BayesPPDSurv

Bayesian Power Prior Design for Survival Data

Installation

About

Bayesian power/type I error calculation and model fitting using the power prior and the normalized power prior for proportional hazards models with piecewise constant hazard. The methodology and examples of applying the package are detailed in doi:10.48550/arXiv.2404.05118. 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 proportional hazards model with piecewise constant hazard is detailed in Ibrahim et al. (2001) doi:10.1007/978-1-4757-3447-8.

Key Metrics

Version 1.0.3
R ≥ 2.10
Published 2024-04-09 10 days ago
Needs compilation? yes
License GPL (≥ 3)
CRAN checks BayesPPDSurv 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

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

BayesPPDSurv archive

Depends

R ≥ 2.10

Imports

Rcpp
dplyr
tidyr

Suggests

knitr
rmarkdown
testthat ≥ 3.0.0

LinkingTo

Rcpp
RcppArmadillo
RcppDist