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BayesCACE

1.2.3

Bayesian Model for CACE Analysis

0packages depend
3.9Kdownloads / year
test coverage
13/13checks pass

Overview

About
Maintained by Jinhui YangFirst published 2021-11-085 releasesCRAN 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

Health

CRAN checks
13OK
Slowest check: 2.1 min · r-oldrel-windows-x86_64
Code health
None
Tests · ratio 0.00
not tracked
Coverage
100%
Documentation · exports
8
Dependencies · direct
Check history
  • OK2026-08-05
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-08-01
    12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • OK2026-03-10
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMENoVignettesNopkgdown siteNoNEWSNoCode of conductNoContributing guideNo
Examples that run
53%
Documented parameters
98%
Return-value docs
100%
References docs
39%

Downloads

3.9K
CRAN downloads in the past year
Rank #9,859 · ~11/day · ~325/mo
Daily download trend is not available in this view yet.
26230 days
95490 days
3.9K1 year
Compare downloads with other packages →
Also on165 r2u35 autocran38 c2d4u

Dependencies

Declared dependencies
7 external dependencies (excludes base and recommended)
Depends (2)
R >= 3.5.0rjags
Imports (7)
LinkingTo (0)
none
Suggests (1)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

Datasets

People & History

People (4)
Maintainer (1)
Author, Maintainer
Authors (2)
Author, Maintainer
Contributors (2)
Contributor
Contributor
Package Timeline

5 releases. Pick two to compare their code metrics. R releases are shown for context.

  • 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
    2022-10-02 · current release · diff ↗
  • 1.2.1
    2022-06-14 · diff ↗
  • R
    R 4.2.0 released · 2022-04-22
  • 1.2
    2022-01-06 · diff ↗
  • 1.1
    2022-01-05 · diff ↗
  • 1.0
    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
Installed size
not tracked yet
With dependencies
not tracked yet
Appears in task views

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("BayesCACE")
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 is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

Cite the R Observatory

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

APA

Balamuta, J. J. (2026). R Observatory: Metrics for BayesCACE version 1.2.3 [Data set]. HJJB, LLC. Data release v2026-08-21. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-21, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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