This is the development version of hierGWAS; for the stable release version, see hierGWAS.
Asessing statistical significance in predictive GWA studiesBioconductor version: Development (3.22)
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.
Author: Laura Buzdugan
Maintainer: Laura Buzdugan <buzdugan at stat.math.ethz.ch>
Citation (from within R, entercitation("hierGWAS")
): Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
# The following initializes usage of Bioc devel
BiocManager::install(version='devel')
BiocManager::install("hierGWAS")
For older versions of R, please refer to the appropriate Bioconductor release.
DocumentationTo view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("hierGWAS")
Details See More Package Archives
Follow Installation instructions to use this package in your R session.
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