getmstatistic

R 패키지 메타데이터와 수집 신호를 모아 봅니다.

Packages / CRAN / getmstatistic

getmstatistic

v0.2.2

getmstatis...

Repository CRANLicense MIT + file LICENSELifecycle activeNeeds compilation no

Package page Reference Source DOI NEWS

DOI

10.32614/CRAN.package.getmstatistic

Task views

Meta-Analysis

Core Signals

첫 화면에서 판단해야 할 수집 신호를 먼저 배치합니다.

Task views

Meta-Analysis

Supported Backends

DESCRIPTION에서 감지한 backend 관련 package입니다.

backend package 신호가 없습니다.

Quick Facts

기본 메타데이터를 작은 카드와 토큰으로 압축합니다.

profile

Repository

CRAN

Version

0.2.2

License

MIT + file LICENSE

Lifecycle

active

Needs compilation

Last observed

2026-05-30

CRAN: cran.r-project.org/package=getmstatistic

수집 소스별 패키지 정보

1개 소스

CRAN

0.2.2

2026-05-30

License

MIT + file LICENSE

Depends

R (>= 3.1.0)

Imports

ggplot2 (>= 1.0.1), gridExtra (>= 0.9.1), gtable (>= 0.1.2), metafor (>= 1.9-6), psych (>= 1.5.1), stargazer (>= 5.1)

Suggests

foreign (>= 0.8-62), knitr (>= 1.10.5), testthat, covr, rmarkdown

Needs compilation

Lifecycle

active

Last observed

2026-05-30 10:45:11

이 패키지가 의존하는 패키지

5개 표시전체 11개

Package	Type	Spec
ggplot2 CRAN · 0.2.2 · 2026-05-30	Imports	ggplot2 (>= 1.0.1)
gridExtra CRAN · 0.2.2 · 2026-05-30	Imports	gridExtra (>= 0.9.1)
gtable CRAN · 0.2.2 · 2026-05-30	Imports	gtable (>= 0.1.2)
metafor CRAN · 0.2.2 · 2026-05-30	Imports	metafor (>= 1.9-6)
psych CRAN · 0.2.2 · 2026-05-30	Imports	psych (>= 1.5.1)
stargazer CRAN · 0.2.2 · 2026-05-30	Imports	stargazer (>= 5.1)
covr CRAN · 0.2.2 · 2026-05-30	Suggests	covr
foreign CRAN · 0.2.2 · 2026-05-30	Suggests	foreign (>= 0.8-62)
knitr CRAN · 0.2.2 · 2026-05-30	Suggests	knitr (>= 1.10.5)
rmarkdown CRAN · 0.2.2 · 2026-05-30	Suggests	rmarkdown
testthat CRAN · 0.2.2 · 2026-05-30	Suggests	testthat
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1 / 3

이 패키지를 쓰는 패키지

0개 표시전체 0개

Package	Type	Spec
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검색 결과가 없습니다.

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패키지 페이지

All links

Repository: CRAN
Version: 0.2.2
Collected: 2026-05-25 06:17:36
Package page: https://cran.r-project.org/web/packages/getmstatistic/index.html
DOI: 10.32614/CRAN.package.getmstatistic
Citation: https://cran.r-project.org/web/packages/getmstatistic/citation.html
CRAN checks: https://cran.r-project.org/web/checks/check_results_getmstatistic.html
NEWS: https://cran.r-project.org/web/packages/getmstatistic/news/news.html
Reference HTML: https://cran.r-project.org/web/packages/getmstatistic/refman/getmstatistic.html
Reference PDF: https://cran.r-project.org/web/packages/getmstatistic/getmstatistic.pdf
Source package: https://cran.r-project.org/src/contrib/getmstatistic_0.2.2.tar.gz
Archive: https://CRAN.R-project.org/src/contrib/Archive/getmstatistic

In views

MetaAnalysis

Page fields

Author: Lerato E Magosi [aut], Jemma C Hopewell [aut], Martin Farrall [aut], Lerato E Magosi [cre]
BugReports: https://github.com/magosil86/getmstatistic/issues
CRAN Checks: getmstatistic results
Citation: getmstatistic citation info
DOI: 10.32614/CRAN.package.getmstatistic
In Views: MetaAnalysis
License: MIT + file LICENSE
Maintainer: Lerato E Magosi <magosil86 at gmail.com>
Materials: NEWS
NeedsCompilation: no
Old Sources: getmstatistic archive
Package Source: getmstatistic_0.2.2.tar.gz
Published: 2021-05-09
Reference Manual: getmstatistic.html , getmstatistic.pdf
URL: https://magosil86.github.io/getmstatistic/
Version: 0.2.2
Vignettes: The M statistic: A simple method to measure the impact of systematic heterogeneity in GWAS meta-analysis. ( source , R code )
Windows Binaries: r-devel: getmstatistic_0.2.2.zip , r-release: getmstatistic_0.2.2.zip , r-oldrel: getmstatistic_0.2.2.zip
MacOS Binaries: r-release (arm64): getmstatistic_0.2.2.tgz , r-oldrel (arm64): getmstatistic_0.2.2.tgz , r-release (x86_64): getmstatistic_0.2.2.tgz , r-oldrel (x86_64): getmstatistic_0.2.2.tgz

Version

0.2.2

Published

2021-05-09

DOI

10.32614/CRAN.package.getmstatistic

Author

Lerato E Magosi [aut], Jemma C Hopewell [aut], Martin Farrall [aut], Lerato E Magosi [cre]

Maintainer

Lerato E Magosi <magosil86 at gmail.com>

BugReports

https://github.com/magosil86/getmstatistic/issues

License

MIT + file LICENSE

MIT LICENSE

URL

https://magosil86.github.io/getmstatistic/

NeedsCompilation

Citation

getmstatistic citation info

Materials

NEWS

In Views

MetaAnalysis

CRAN Checks

getmstatistic results

Reference Manual

getmstatistic.html , getmstatistic.pdf

getmstatistic.html getmstatistic.pdf

Vignettes

The M statistic: A simple method to measure the impact of systematic heterogeneity in GWAS meta-analysis. ( source , R code )

The M statistic: A simple method to measure the impact of systematic heterogenei...source R code

Package Source

getmstatistic_0.2.2.tar.gz

Windows Binaries

r-devel: getmstatistic_0.2.2.zip , r-release: getmstatistic_0.2.2.zip , r-oldrel: getmstatistic_0.2.2.zip

getmstatistic_0.2.2.zip getmstatistic_0.2.2.zip getmstatistic_0.2.2.zip

MacOS Binaries

r-release (arm64): getmstatistic_0.2.2.tgz , r-oldrel (arm64): getmstatistic_0.2.2.tgz , r-release (x86_64): getmstatistic_0.2.2.tgz , r-oldrel (x86_64): getmstatistic_0.2.2.tgz

getmstatistic_0.2.2.tgz getmstatistic_0.2.2.tgz getmstatistic_0.2.2.tgz getmstatistic_0.2.2.tgz

Old Sources

getmstatistic archive

Page sections 3

Documentation

Heading

Documentation

Links

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Text

Reference manual: getmstatistic.html , getmstatistic.pdf Vignettes: The M statistic: A simple method to measure the impact of systematic heterogeneity in GWAS meta-analysis. ( source , R code )

Downloads

Heading

Downloads

Links

[{"label":"getmstatistic_0.2.2.tar.gz","section":"","type":"","url":"https://cran.r-project.org/src/contrib/getmstatistic_0.2.2.tar.gz"},{"label":"getmstatistic_0.2.2.zip","section":"","type":"","url":"https://cran.r-project.org/bin/windows/contrib/4.7/getmstatistic_0.2.2.zip"},{"label":"getmstatistic_0.2.2.zip","section":"","type":"","url":"https://cran.r-project.org/bin/windows/contrib/4.6/getmstatistic_0.2.2.zip"},{"label":"getmstatistic_0.2.2.zip","section":"","type":"","url":"https://cran.r-project.org/bin/windows/contrib/4.5/getmstatistic_0.2.2.zip"},{"label":"getmstatistic_0.2.2.tgz","section":"","type":"","url":"https://cran.r-project.org/bin/macosx/sonoma-arm64/contrib/4.6/getmstatistic_0.2.2.tgz"},{"label":"getmstatistic_0.2.2.tgz","section":"","type":"","url":"https://cran.r-project.org/bin/macosx/big-sur-arm64/contrib/4.5/getmstatistic_0.2.2.tgz"},{"label":"getmstatistic_0.2.2.tgz","section":"","type":"","url":"https://cran.r-project.org/bin/macosx/big-sur-x86_64/contrib/4.6/getmstatistic_0.2.2.tgz"},{"label":"getmstatistic_0.2.2.tgz","section":"","type":"","url":"https://cran.r-project.org/bin/macosx/big-sur-x86_64/contrib/4.5/getmstatistic_0.2.2.tgz"},{"label":"getmstatistic archive","section":"","type":"","url":"https://CRAN.R-project.org/src/contrib/Archive/getmstatistic"}]

Text

Package source: getmstatistic_0.2.2.tar.gz Windows binaries: r-devel: getmstatistic_0.2.2.zip , r-release: getmstatistic_0.2.2.zip , r-oldrel: getmstatistic_0.2.2.zip macOS binaries: r-release (arm64): getmstatistic_0.2.2.tgz , r-oldrel (arm64): getmstatistic_0.2.2.tgz , r-release (x86_64): getmstatistic_0.2.2.tgz , r-oldrel (x86_64): getmstatistic_0.2.2.tgz Old sources: getmstatistic archive

Linking

Heading

Linking

Links

[{"label":"https://CRAN.R-project.org/package=getmstatistic","section":"","type":"","url":"https://CRAN.R-project.org/package=getmstatistic"}]

Text

Please use the canonical form https://CRAN.R-project.org/package=getmstatistic to link to this page.

Materials 1

NEWS

Documentation 5

getmstatistic.html getmstatistic.pdf The M statistic: A simple method to measure the impact of systematic heterogeneity in GWAS meta-analysis.source R code

Vignettes 3

The M statistic: A simple method to measure the impact of systematic heterogeneity in GWAS meta-analysis.source R code

Downloads 9

getmstatistic_0.2.2.tar.gz getmstatistic_0.2.2.zip getmstatistic_0.2.2.zip getmstatistic_0.2.2.zip getmstatistic_0.2.2.tgz getmstatistic_0.2.2.tgz getmstatistic_0.2.2.tgz getmstatistic_0.2.2.tgz getmstatistic archive

All page links 35

버전 이력

Repository	Version	Published	First seen	Last seen	Docs
CRAN	0.2.2		2026-05-29	2026-05-30

보안

표시할 OSV 데이터가 없습니다.

문헌 신호

표시할 OpenAlex 데이터가 없습니다.

CRAN Task Views

Meta-Analysis · 2026-05-30