Package: hierGWAS 1.42.0

Laura Buzdugan

hierGWAS: Asessing statistical significance in predictive GWA studies

Testing individual SNPs, as well as arbitrarily large groups of SNPs in GWA studies, using a joint model of all SNPs. The method controls the FWER, and provides an automatic, data-driven refinement of the SNP clusters to smaller groups or single markers.

Authors:Laura Buzdugan

hierGWAS_1.42.0.tar.gz
hierGWAS_1.42.0.zip(r-4.7)hierGWAS_1.42.0.zip(r-4.6)hierGWAS_1.42.0.zip(r-4.5)
hierGWAS_1.42.0.tgz(r-4.6-any)hierGWAS_1.42.0.tgz(r-4.5-any)
hierGWAS_1.42.0.tar.gz(r-4.7-any)hierGWAS_1.42.0.tar.gz(r-4.6-any)
hierGWAS_1.42.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
hierGWAS/json (API)
NEWS

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

On BioConductor:hierGWAS-1.43.0(bioc 3.24)hierGWAS-1.42.0(bioc 3.23)

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

snplinkagedisequilibriumclustering

3.30 score 1 scripts 380 downloads 4 exports 12 dependencies

Last updated from:a79cb629e4 (on RELEASE_3_23). Checks:1 ERROR, 7 WARNING, 2 OK. Indexed: no.

TargetResultTimeFilesSyslog
bioc-checksERROR134
linux-devel-x86_64WARNING138
source / vignettesOK245
linux-release-x86_64WARNING143
macos-release-arm64WARNING113
macos-oldrel-arm64WARNING100
windows-develWARNING98
windows-releaseWARNING95
windows-oldrelWARNING67
wasm-releaseOK109

Exports:cluster.snpcompute.r2multisplittest.hierarchy

Dependencies:codetoolsfastclusterfmsbforeachglmnetiteratorslatticeMatrixRcppRcppEigenshapesurvival

User manual for R-Package hierGWAS

Rendered fromhierGWAS.Rnwusingutils::Sweaveon May 26 2026.

Last update: 2015-06-08
Started: 2015-06-08