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boot.heterogeneity

1.1.5Package record

A Bootstrap-Based Heterogeneity Test for Meta-Analysis

0packages depend
3.4Kdownloads / year
63.4%test coverage
11/13flavors OK

Overview

About

Implements a bootstrap-based heterogeneity test for standardized mean differences (d), Fisher-transformed Pearson's correlations (r), and natural-logarithm-transformed odds ratio (or) in meta-analysis studies. Depending on the presence of moderators, this Monte Carlo based test can be implemented in the random- or mixed-effects model. This package uses rma() function from the R package 'metafor' to obtain parameter estimates and likelihoods, so installation of R package 'metafor' is required. This approach refers to the studies of Anscombe (1956) doi:10.2307/2332926, Haldane (1940) doi:10.2307/2332614, Hedges (1981) doi:10.3102/10769986006002107, Hedges & Olkin (1985, ISBN:978-0123363800), Silagy, Lancaster, Stead, Mant, & Fowler (2004) doi:10.1002/14651858.CD000146.pub2, Viechtbauer (2010) doi:10.18637/jss.v036.i03, and Zuckerman (1994, ISBN:978-0521432009).

Install

Health

CRAN checks
2NOTE11OK
Check messages
NOTEdependencies in R coder-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc
Namespaces in Imports field not imported from:
  ‘HSAUR3’ ‘knitr’ ‘rmarkdown’
All declared Imports should be used.

CRAN check page ↗

Slowest check: 1.9 min · r-oldrel-windows-x86_64
Status changes
  • NOTE11 OK, 2 NOTENow
  • NOTE12 OK, 2 NOTE2026-03-10
Advisories

none known

Documentation

In release 1.1.5
READMEYes · 156 wordsVignettesYes · 1 · dynamicNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION
Description cites a JSS article
Help pages
3
Examples that run
100%3 run in a plain check
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
100%

Downloads

3.4K
CRAN downloads in the past year
Rank #10,798 · ~9/day · ~282/mo
Daily download trend is not available in this view yet.
37130 days
96990 days
3.4K1 year
Compare downloads with other packages →
Also on96 r2u25 autocran51 c2d4u

Repository

0Stars
0Forks
0Open issues
0Open PRs
0Releases
Last activity 2021-10-18
Responsiveness
not measured
PracticesBeta

2 development-tooling and community-health practices detected across 2 families in the upstream repository

Checks run against github.com/gabriellajg/boot.heterogeneity on 2026-10-18.

Continuous integration (1)
Travis CI (config file)
Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v3 (2026-09-26)

Dependencies

Declared dependencies
8 external dependencies (excludes base and recommended)

Installing boot.heterogeneity adds 32 packages (15 with compiled code, 30 MB of source tarballs). Heaviest: bslib 5.6 MB, metafor 4.8 MB, HSAUR3 3.3 MB.

Depends (1)
R >= 3.1.0
LinkingTo (0)
none
Suggests (4)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

People & History

People (3)
Author, Maintainer since 0.1.0 (2020)
Author
Contributor
Releases (4)

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
  • R
    R 4.2.0 released · 2022-04-22
  • 1.1.5Latest
    record
    2021-10-23 · current release · diff ↗
  • R
    R 4.1.0 released · 2021-05-18
  • 1.1.2
    record
    2021-01-07 · diff ↗
  • 0.1.1
    record
    2020-09-21 · diff ↗
  • 0.1.0
    record
    2020-05-08
  • R
    R 4.0.0 released · 2020-04-24

Package metadata

First published
2020-05-08
Total releases
4 / 6 yrs
License
GPL (>= 2) OSI
Minimum R
≥ 3.1.0
Download size
276 KB
Appears in task views

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("boot.heterogeneity")
Jiang, G., Du, H., & Ke, Z. (2021). boot.heterogeneity: A Bootstrap-Based Heterogeneity Test for Meta-Analysis (Version 1.1.5) [Computer software]. https://doi.org/10.32614/CRAN.package.boot.heterogeneity

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.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for boot.heterogeneity version 1.1.5 [Data set]. HJJB, LLC. Data release v2026-10-22. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-22, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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