epistasisGA

DOI: 10.18129/B9.bioc.epistasisGA    

An R package to identify multi-snp effects in nuclear family studies using the GADGETS method

Bioconductor version: Release (3.16)

This package runs the GADGETS method to identify epistatic effects in nuclear family studies. It also provides functions for permutation-based inference and graphical visualization of the results.

Author: Michael Nodzenski [aut, cre], Juno Krahn [ctb]

Maintainer: Michael Nodzenski <michael.nodzenski at gmail.com>

Citation (from within R, enter citation("epistasisGA")):

Installation

To install this package, start R (version "4.2") and enter:

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("epistasisGA")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("epistasisGA")

 

HTML R Script GADGETS Usage
PDF   Reference Manual
Text   NEWS

Details

biocViews GeneticVariability, Genetics, SNP, Software
Version 1.0.0
In Bioconductor since BioC 3.16 (R-4.2) (< 6 months)
License GPL-3
Depends R (>= 4.0)
Imports BiocParallel, data.table, matrixStats, stats, survival, igraph, batchtools, qgraph, grDevices, parallel, Rcpp (>= 0.11.0), ggplot2, grid, graphics, utils
LinkingTo Rcpp, RcppArmadillo
Suggests Matrix, BiocStyle, knitr, rmarkdown, magrittr, kableExtra, testthat (>= 3.0.0)
SystemRequirements
Enhances
URL https://github.com/mnodzenski/epistasisGA
BugReports https://github.com/mnodzenski/epistasisGA/issues
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report  

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package epistasisGA_1.0.0.tar.gz
Windows Binary epistasisGA_1.0.0.zip
macOS Binary (x86_64) epistasisGA_1.0.0.tgz
macOS Binary (arm64) epistasisGA_1.0.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/epistasisGA
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/epistasisGA
Package Short Url https://bioconductor.org/packages/epistasisGA/
Package Downloads Report Download Stats

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