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weightr

2.0.2

Estimating Weight-Function Models for Publication Bias

1packages depend
7.3Kdownloads / year
test coverage
13/13checks pass

Overview

About
Maintained by Kathleen M. CoburnFirst published 2016-04-247 releasesCRAN page ↗

Estimates the Vevea and Hedges (1995) weight-function model. By specifying arguments, users can also estimate the modified model described in Vevea and Woods (2005), which may be more practical with small datasets. Users can also specify moderators to estimate a linear model. The package functionality allows users to easily extract the results of these analyses as R objects for other uses. In addition, the package includes a function to launch both models as a Shiny application. Although the Shiny application is also available online, this function allows users to launch it locally if they choose.

Install

Health

CRAN checks
13OK
Slowest check: 1.7 min · r-oldrel-windows-x86_64
Code health
None
Tests · ratio 0.00
not tracked
Coverage
100%
Documentation · exports
2
Dependencies · direct
Check history
  • OK2026-08-04
    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
0%
Documented parameters
100%
Return-value docs
25%
References docs
44%

Downloads

7.3K
CRAN downloads in the past year
Rank #6,470 · ~20/day · ~605/mo
Daily download trend is not available in this view yet.
32430 days
1.3K90 days
7.3K1 year
Compare downloads with other packages →
Also on120 r2u21 autocran787 conda_forge74 c2d4u

Dependencies

Declared dependencies
3 external dependencies (excludes base and recommended)
Depends (3)
R >= 3.3.0ggplot2scales
Imports (0)
none
LinkingTo (0)
none
Suggests (1)
Enhances (0)
none
Reverse dependencies
1direct
0indirect

Code & Tests

Datasets

People & History

People (2)
Maintainer (1)
Author, Maintainer
Authors (2)
Author, Maintainer
Listed in earlier versions (2)
no longer listed · 1.0.0 to 2.0.2
no longer listed · 1.0.0 to 2.0.2
Package Timeline

7 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
  • R
    R 4.2.0 released · 2022-04-22
  • R
    R 4.1.0 released · 2021-05-18
  • R
    R 4.0.0 released · 2020-04-24
  • 2.0.2Latest
    2019-07-06 · current release · diff ↗
  • R
    R 3.6.0 released · 2019-04-26
  • 2.0.1
    2019-03-05 · diff ↗
  • 2.0.0
    2019-03-01 · diff ↗
  • R
    R 3.5.0 released · 2018-04-23
  • R
    R 3.4.0 released · 2017-04-21
  • 1.1.2
    2017-04-04 · diff ↗
  • 1.1.1
    2017-03-23 · diff ↗
  • 1.1.0
    2017-03-12 · diff ↗
Show 3 earlier events
  • R
    R 3.3.0 released · 2016-05-03
  • 1.0.0
    2016-04-24
  • R
    R 3.2.0 released · 2015-04-16

Package metadata

First published
2016-04-24
Total releases
7 / 10 yrs
License
GPL-2 | GPL-3 OSI
Minimum R
≥ 3.3.0
Bundled data
7.1 KB / 3 files
Download size
135 KB
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("weightr")
Coburn, K. M., & Vevea, J. L. (2019). weightr: Estimating Weight-Function Models for Publication Bias (Version 2.0.2) [Computer software]. https://doi.org/10.32614/CRAN.package.weightr

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 weightr version 2.0.2 [Data set]. HJJB, LLC. Data release v2026-08-18. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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