This package is for version 3.16 of Bioconductor; for the stable, up-to-date release version, see epistasisGA.
Bioconductor version: 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")
):
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.
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("epistasisGA")
HTML | R Script | GADGETS Usage |
Reference Manual | ||
Text | NEWS |
biocViews | GeneticVariability, Genetics, SNP, Software |
Version | 1.0.2 |
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 |
Follow Installation instructions to use this package in your R session.
Source Package | epistasisGA_1.0.2.tar.gz |
Windows Binary | epistasisGA_1.0.2.zip |
macOS Binary (x86_64) | epistasisGA_1.0.2.tgz |
macOS Binary (arm64) | epistasisGA_1.0.2.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/epistasisGA |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/epistasisGA |
Bioc Package Browser | https://code.bioconductor.org/browse/epistasisGA/ |
Package Short Url | https://bioconductor.org/packages/epistasisGA/ |
Package Downloads Report | Download Stats |
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