R Observatory: Metrics for BayesCACE version 1.2.3

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

BayesCACE

1.2.3Package record

Bayesian Model for CACE Analysis

0packages depend

4.1Kdownloads / year

–test coverage

13/13flavors OK

Overview

About

Maintained by Jinhui YangCRAN page ↗

Performs CACE (Complier Average Causal Effect analysis) on either a single study or meta-analysis of datasets with binary outcomes, using either complete or incomplete noncompliance information. Our package implements the Bayesian methods proposed in Zhou et al. (2019) doi:10.1111/biom.13028, which introduces a Bayesian hierarchical model for estimating CACE in meta-analysis of clinical trials with noncompliance, and Zhou et al. (2021) doi:10.1080/01621459.2021.1900859, with an application example on Epidural Analgesia.

Install

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

install.packages("BayesCACE", 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-bayescace

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-BayesCACE

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-BayesCACE

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: 2.1 min · r-oldrel-windows-x86_64

Status changes

OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK14 OK2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 1.2.3

READMENoVignettesYes · 1 · staticNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION

Help pages: 18
Examples that run: 53%8 run in a plain check · 7 only when donttest examples are enabled (R CMD check --as-cran)
Exported functions with examples: 81%
Documented parameters: 98%
Return-value docs: 100%
Help pages citing references: 39% with a bibliography file

Vignettes (1)

BayesCACE paper PDF

How these are measured

Downloads

4.1K

CRAN downloads in the past year

Rank #8,024 · ~11/day · ~342/mo

Releases R versions

Daily download trend is not available in this view yet.

34030 days

1.1K90 days

4.1K1 year

Compare downloads with other packages →

Also on134 r2u25 autocran120 c2d4u

How downloads are counted

Dependencies

Declared dependencies

7 external dependencies (excludes base and recommended)

Installing BayesCACE adds 20 packages (10 with compiled code, 23 MB of source tarballs). Heaviest: metafor 4.8 MB, lme4 4.3 MB, mathjaxr 3.0 MB.

Depends (2)

R >= 3.5.0rjags

Imports (7)

coda RdpackgrDevicesforestplot metafor lme4methods

LinkingTo (0)

none

Suggests (1)

R.rsp

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

How these are counted

Code & Tests

Datasets

People & History

People (4)

Jinhui Yang

Author, Maintainer since 1.0 (2021)

Jincheng Zhou

Author

Haitao Chu

Contributor

James Hodges

Contributor

Releases (5)

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
R
R 4.4.0 released · 2024-04-24
R
R 4.3.0 released · 2023-04-21
1.2.3Latest
record
2022-10-02 · current release · diff ↗
1.2.1
record
2022-06-14 · diff ↗
R
R 4.2.0 released · 2022-04-22
1.2
record
2022-01-06 · diff ↗
1.1
record
2022-01-05 · diff ↗ ·
removed 1 export
plt.cacebayes

added 3 exports
plt.acf, plt.density, plt.trace
1.0
record
2021-11-08
R
R 4.1.0 released · 2021-05-18

Package metadata

First published: 2021-11-08
Total releases: 5 / 5 yrs
License: GPL (>= 2) OSI
Minimum R: ≥ 3.5.0
Bundled data: 1.3 KB / 2 files
Download size: 1.7 MB

Appears in task views

Bayesian Inference

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("BayesCACE")

Format

Yang, J., Chu, H., Hodges, J., & Zhou, J. (2022). BayesCACE: Bayesian Model for CACE Analysis (Version 1.2.3) [Computer software]. https://doi.org/10.32614/CRAN.package.BayesCACE

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

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 BayesCACE version 1.2.3 [Data set]. HJJB, LLC. Data release v2026-10-24. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-24, which the citation names so these numbers can be found later. More on citing and the projects behind them.

Report a problem with this page →