R Observatory: Metrics for BayesPPD version 1.1.3

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

BayesPPD

1.1.3Package record

Bayesian Power Prior Design

0packages dependsuggested by 1

4.4Kdownloads / year

24.0%test coverage

13/13flavors OK

Overview

About

Maintained by Yueqi ShenCRAN page ↗

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. Models for time-to-event outcomes are implemented in the R package 'BayesPPDSurv'. 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.

Changes in 1.1.3

Bug Fixes

Improve the accuracy of estimating a0 for two.grp.random.a0() and glm.random.a0() for normal data.

From NEWS.md in the release

Install

R (CRAN)Ubuntu (r2u)Fedora (COPR)openSUSE (OBS)

install.packages("BayesPPD", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

Release

# enable cranapt (r2u) if it is not already set up, then install
grep -rqs r2u.stat.illinois.edu /etc/apt/sources.list /etc/apt/sources.list.d/ \
  || curl -fsSL https://raw.githubusercontent.com/eddelbuettel/r2u/master/inst/scripts/add_cranapt_noble.sh | sudo bash
sudo apt install -y r-cran-bayesppd

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled. We list this channel from recorded r2u download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

bspm (used by r2u) also needs make: sudo apt install make

# enable the iucar/cran COPR if it is not already present, then install
ls /etc/yum.repos.d/*iucar*cran*.repo >/dev/null 2>&1 \
  || sudo dnf copr enable -y iucar/cran
sudo dnf install -y R-CRAN-BayesPPD

RPMs from the iucar/cran COPR, rebuilt from CRAN.

For install.packages() integration in R, also: sudo dnf install R-CoprManager

# add the autoCRAN OBS repo (Tumbleweed) if it is missing, then install
zypper -q lr | grep -qi autoCRAN \
  || sudo zypper addrepo https://download.opensuse.org/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/devel:languages:R:autoCRAN.repo
sudo zypper install -y R-BayesPPD

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed). We list this channel from recorded autoCRAN download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

Health

CRAN checks

13OK

CRAN check page ↗

Slowest check: 11.9 min · r-devel-windows-x86_64

Status changes

OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK12 OK2026-04-25
NOTE12 OK, 2 NOTE2026-04-22
ERROR11 OK, 2 NOTE, 1 ERROR2026-04-18

Show 1 earlier changeHide 1 earlier change

NOTE12 OK, 2 NOTE2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 1.1.3

READMENoVignettesYes · 1 · dynamicNEWSYes · 100% structured · mentions 1.1.3Citation fileYes · cites a publicationWebsitenot declared in DESCRIPTION

Description cites an R Journal article

Help pages: 12includes a package overview page
Examples that run: 100%9 run in a plain check
Exported functions with examples: 100%
Documented parameters: 100%
Return-value docs: 100%
Help pages citing references: 83%

Vignettes (1)

bayesppd-vignette HTML

How these are measured

Downloads

4.4K

CRAN downloads in the past year

Rank #7,020 · ~12/day · ~363/mo

Releases R versions

Daily download trend is not available in this view yet.

49330 days

1.2K90 days

4.4K1 year

Compare downloads with other packages →

Also on387 r2u28 autocran

How downloads are counted

Dependencies

Declared dependencies

10 external dependencies (excludes base and recommended)

Installing BayesPPD adds 4 packages (4 with compiled code, 4.7 MB of source tarballs). Heaviest: Rcpp 1.8 MB, RcppEigen 1.7 MB, RcppArmadillo 1.0 MB.

Depends (1)

R >= 3.5.0

Imports (1)

Rcpp

LinkingTo (4)

Rcpp RcppArmadillo RcppEigen RcppNumerical

Suggests (5)

rmarkdown knitr testthat ggplot2 kableExtra

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Suggested by 1

Suggests, most downloaded first

psborrow2

How these are counted

Code & Tests

Datasets

People & History

People (3)

Yueqi Shen

Author, Maintainer since 1.0.0 (2021)

Joseph G. Ibrahim

Author

Matthew A. Psioda

Author

Releases (12)

Pick two releases to compare their code metrics.

R
R 4.6.0 released · 2026-04-24
R
R 4.5.0 released · 2025-04-11
1.1.3Latest
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2025-01-13 · current release · diff ↗
R
R 4.4.0 released · 2024-04-24
1.1.2
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2023-11-25 · diff ↗
1.1.1
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2023-05-09 · diff ↗
R
R 4.3.0 released · 2023-04-21
1.1.0
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2022-11-12 · diff ↗
1.0.7
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2022-08-12 · diff ↗
1.0.6
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2022-04-23 · diff ↗
R
R 4.2.0 released · 2022-04-22
1.0.5
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2022-04-17 · diff ↗
1.0.4
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2022-01-03 · diff ↗
1.0.3
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2021-09-08 · diff ↗
1.0.2
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2021-07-20 · diff ↗
unarchivedReturned to CRAN
2021-07-13

Show 5 earlier eventsHide 5 earlier events

1.0.1
record
2021-07-13 · diff ↗
archivedRemoved from CRAN
2021-05-18
policy violation Uses assert. Also valgrind-reported errors even after multiple submissions
R
R 4.1.0 released · 2021-05-18
1.0.0
record
2021-05-10
R
R 4.0.0 released · 2020-04-24

Package metadata

First published: 2021-05-10
Total releases: 12 / 5 yrs
License: GPL (>= 3) OSI · relicensed from MIT + file LICENSE in 1.0.4
Minimum R: ≥ 3.5.0
Bundled data: 2.6 KB / 2 files
Download size: 106 KB

Cite

Cite this package

Run in R for the authors' entry:

citation("BayesPPD")

The package provides a citation file, so citation() returns the authors' own entry.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for BayesPPD version 1.1.3 [Data set]. HJJB, LLC. Data release v2026-10-21. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-21, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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