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Meta-Analysis of Significance Values

3packages dependsuggested by 3
124.6Kdownloads / year
–test coverage
13/13flavors OK

Overview

About

The canonical way to perform meta-analysis involves using effect sizes. When they are not available this package provides a number of methods for meta-analysis of significance values including the methods of Edgington, Fisher, Lancaster, Stouffer, Tippett, and Wilkinson; a number of data-sets to replicate published results; and routines for graphical display.

Changes in 1.14
  • fixed error in truncated example
  • improved vignette
  • improved other documentation
  • updated version of mathjaxr
  • fixed HTML problem from mathjaxr (thanks to Kurt Hornik)

From NEWS in the release

Install

Health

CRAN checks
13OK
Slowest check: 3.4 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

Documentation

In release 1.14
READMENoVignettesYes · 3 · dynamicNEWSYes · 100% structured · mentions 1.14Citation fileYes · computed when R runs itWebsitenot declared in DESCRIPTION
Help pages
20 (2 internal)includes a package overview page
Examples that run
100%17 run in a plain check
Exported functions with examples
100%
Documented parameters
92%
Return-value docs
100%
Help pages citing references
75% with a bibliography file

Downloads

124.6K
CRAN downloads in the past year
Rank #1,311 · ~341/day · ~10.4K/mo
Daily download trend is not available in this view yet.
6.7K30 days
22.7K90 days
124.6K1 year
Compare downloads with other packages →
Also on1.6K r2u5.8K conda_forge416 bioconda185 c2d4u

Dependencies

Declared dependencies
5 external dependencies (excludes base and recommended)

Installing metap adds 21 packages (9 with compiled code, 25 MB of source tarballs). Heaviest: TH.data 8.2 MB, mathjaxr 3.0 MB, robustbase 2.2 MB. 1 more not on CRAN is not measured.

Depends (1)
R >= 3.5.0
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
3direct
0indirect
Imports 3
Suggested by 3
Depends, Imports or LinkingTo, most downloaded first
Suggests, most downloaded first

Datasets

People & History

People (1)
Author, Maintainer since 0.5-1 (2014)
Releases (21)

Pick two releases to compare their code metrics.

Show 19 earlier eventsHide 19 earlier events
  • 1.4
    record
    2020-07-12 · diff ↗
  • R
    R 4.0.0 released · 2020-04-24
  • 1.3
    record
    2020-01-23 · diff ↗
  • 1.2
    record
    2019-12-08 · diff ↗ ·
    added 1 export
    truncated
  • R
    R 3.6.0 released · 2019-04-26
  • 1.1
    record
    2019-02-06 · diff ↗ ·
    added 1 export
    plotp
  • 1.0
    record
    2018-07-25 · diff ↗ ·
    added 3 exports
    invchisq, invt, meanz
  • 0.9
    record
    2018-04-25 · diff ↗ ·
    added 1 export
    allmetap
  • R
    R 3.5.0 released · 2018-04-23
  • R
    R 3.4.0 released · 2017-04-21
  • 0.8
    record
    2017-01-22 · diff ↗ ·
    added 1 export
    maximump
  • R
    R 3.3.0 released · 2016-05-03
  • 0.7
    record
    2016-04-07 · diff ↗
  • 0.6-2
    record
    2016-02-25 · diff ↗
  • R
    R 3.2.0 released · 2015-04-16
  • 0.6
    record
    2014-05-07 · diff ↗
  • R
    R 3.1.0 released · 2014-04-10
  • 0.5-1
    record
    2014-03-11
  • R
    R 3.0.0 released · 2013-04-03

Package metadata

First published
2014-03-11
Total releases
21 / 12 yrs
License
GPL-2 OSI
Minimum R
≥ 3.5.0
Bundled data
3.2 KB / 1 file
Download size
924 KB
Appears in task views

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("metap")

The package provides a citation file that builds its entry when R runs it. Run citation() to see it.

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 metap version 1.14 [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.

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