Skip to content

remaCor

0.0.20Package record

Random Effects Meta-Analysis for Correlated Test Statistics

0packages depend
28.4Kdownloads / year
0.0%test coverage
13/13flavors OK

Overview

About

Meta-analysis is widely used to summarize estimated effects sizes across multiple statistical tests. Standard fixed and random effect meta-analysis methods assume that the estimated of the effect sizes are statistically independent. Here we relax this assumption and enable meta-analysis when the correlation matrix between effect size estimates is known. Fixed effect meta-analysis uses the method of Lin and Sullivan (2009) doi:10.1016/j.ajhg.2009.11.001, and random effects meta-analysis uses the method of Han, et al. doi:10.1093/hmg/ddw049.

Changes in 0.0.20
  • Aug 4, 2025
  • in LS.empirical() add parameter, \code{useGamma} to disable gamma approx of empirical distribution of test statistics

remaCor 0.0.19

  • Feb 27, 2024
  • in RE2C() return QE, QEp, Isq, etc even when correlation is not diagonal

From NEWS.md in the release

Install

Health

CRAN checks
13OK
Slowest check: 3.5 min · r-devel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK14 OK2026-04-22
  • ERROR13 OK, 1 ERROR2026-04-18
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 0.0.20
READMEYes · 110 wordsVignettesYes · 1 · dynamicNEWSYes · 100% structured · mentions 0.0.20Citation fileYes · cites a publicationWebsiteYes · pkgdown
Help pages
7
Examples that run
100%6 run in a plain check
Exported functions with examples
100%
Documented parameters
87%
Return-value docs
67%
Help pages citing references
43% with a bibliography file

Downloads

28.4K
CRAN downloads in the past year
Rank #2,008 · ~78/day · ~2.4K/mo
Daily download trend is not available in this view yet.
3.3K30 days
9.2K90 days
28.4K1 year
Compare downloads with other packages →
Also on1K r2u3 autocran9.6K conda_forge94 c2d4u

Repository

1Stars
0Forks
0Open PRs
0Releases
78Commits
9Commit identities
78 commits · Last activity 2025-08-07
Responsiveness
not measured

Stars over time

2023-03-02 · 12026-07-07 · 1
PracticesBeta

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

Checks run against github.com/diseaseneurogenomics/remacor on 2026-10-21.

Continuous integration (1)
GitHub Actions
Docs source (3)
pkgdown

GitHub Pages site last deployed 2025-08-07 · The repository has a site deploy workflow

How this is detected·Detection ruleset v4 (2026-10-20)

Dependencies

Declared dependencies
12 external dependencies (excludes base and recommended)

Installing remaCor adds 29 packages (15 with compiled code, 32 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, Rcpp 1.8 MB.

Depends (3)
R >= 3.6.0ggplot2methods
Imports (8)
LinkingTo (2)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (1)
Author, Maintainer since 0.0.9 (2022)
Releases (5)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • 0.0.20Latest
    record
    2025-08-20 · current release · diff ↗
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • 0.0.18
    record
    2024-02-08 · diff ↗
  • 0.0.16
    record
    2023-06-21 · diff ↗ ·
    added 2 exports
    LS.empirical, hotelling
  • R
    R 4.3.0 released · 2023-04-21
  • 0.0.11
    record
    2022-11-10 · diff ↗
  • 0.0.9
    record
    2022-09-07
  • R
    R 4.2.0 released · 2022-04-22

Package metadata

First published
2022-09-07
Total releases
5 / 4 yrs
License
Artistic-2.0 OSI
Minimum R
≥ 3.6.0
Download size
675 KB
Appears in task views

Cite

Cite this package

Run in R for the authors' entry:

citation("remaCor")

The package provides a citation file, so citation() returns the authors' own entry.

It points to 10.1093/bioinformatics/btx242, 10.1093/hmg/ddw049, 10.1016/j.ajhg.2011.04.014.

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 remaCor version 0.0.20 [Data set]. HJJB, LLC. Data release v2026-10-23. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.

Report a problem with this page →

Privacy choices

These apply to this browser and are stored on this device only. Nothing about your choice is sent to us.

Read the privacy policy