Package: metalcor 1.0.0

Alejandro Ochoa

metalcor: Meta-Analysis of Correlated Genetic Association Studies

The main function performs meta-analysis of genetic association study summary statistics that may be correlated due to cryptic relatedness or other confounders, generalizing inverse variance weighted methods. The function that estimates the correlation structure is also provided standalone. Another key innovation, the estimation of the correlation parameter from the median product of correlated standard normal variables, is provided, as well as a complete set of functions for their underlying distribution: density, cumulative, quantile, and random deviates. Described in Tu and Ochoa (2025) <doi:10.1101/2025.05.10.653279>.

Authors:Alejandro Ochoa [aut, cre], Tiffany Tu [aut]

metalcor_1.0.0.tar.gz
metalcor_1.0.0.zip(r-4.7)metalcor_1.0.0.zip(r-4.6)metalcor_1.0.0.zip(r-4.5)
metalcor_1.0.0.tgz(r-4.6-any)metalcor_1.0.0.tgz(r-4.5-any)
metalcor_1.0.0.tar.gz(r-4.7-any)metalcor_1.0.0.tar.gz(r-4.6-any)
metalcor_1.0.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
metalcor/json (API)
NEWS

# Install 'metalcor' in R:
install.packages('metalcor', repos = c('https://ochoalab.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/ochoalab/metalcor/issues

On CRAN:

Conda:

3.90 score 1 stars 16 scripts 7 exports 15 dependencies

Last updated from:2c374f19fd. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK133
source / vignettesOK181
linux-release-x86_64OK123
macos-release-arm64OK70
macos-oldrel-arm64OK104
windows-develOK110
windows-releaseOK99
windows-oldrelOK90
wasm-releaseOK114

Exports:dprodcorestimate_Rmetalcorpprodcorqprodcorrho_from_medianrprodcor

Dependencies:clidplyrgenericsgluelifecyclemagrittrpillarpkgconfigR6rlangtibbletidyselectutf8vctrswithr

metalcor

Rendered frommetalcor.Rmdusingknitr::rmarkdownon May 13 2026.

Last update: 2026-05-06
Started: 2026-05-06