Package: metaCCA
Type: Package
Title: Summary Statistics-Based Multivariate Meta-Analysis of
        Genome-Wide Association Studies Using Canonical Correlation
        Analysis
Version: 1.40.0
Date: 2016-01-26
Author: Anna Cichonska <anna.cichonska@gmail.com>
Maintainer: Anna Cichonska <anna.cichonska@gmail.com>
Suggests: knitr
VignetteBuilder: knitr
Description: metaCCA performs multivariate analysis of a single or
        multiple GWAS based on univariate regression coefficients. It
        allows multivariate representation of both phenotype and
        genotype. metaCCA extends the statistical technique of
        canonical correlation analysis to the setting where original
        individual-level records are not available, and employs a
        covariance shrinkage algorithm to achieve robustness.
License: MIT + file LICENSE
URL: https://doi.org/10.1093/bioinformatics/btw052
LazyData: TRUE
biocViews: GenomeWideAssociation, SNP, Genetics, Regression,
        StatisticalMethod, Software
NeedsCompilation: no
git_url: https://git.bioconductor.org/packages/metaCCA
git_branch: RELEASE_3_23
git_last_commit: 019bc50
git_last_commit_date: 2026-04-28
Repository: Bioconductor 3.23
Date/Publication: 2026-04-28
Packaged: 2026-04-28 23:07:36 UTC; biocbuild
Built: R 4.6.0; ; 2026-04-29 19:11:26 UTC; unix
