FRGEpistasis
Epistasis Analysis for Quantitative Traits by Functional Regression Model
Bioconductor version: Release (3.20)
A Tool for Epistasis Analysis Based on Functional Regression Model
Author: Futao Zhang
Maintainer: Futao Zhang <futoaz at gmail.com>
Citation (from within R, enter
citation("FRGEpistasis")):
Installation
To install this package, start R (version "4.4") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("FRGEpistasis")
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("FRGEpistasis")| FRGEpistasis: A Tool for Epistasis Analysis Based on Functional Regression Model | R Script | |
| Reference Manual | ||
| NEWS | Text |
Details
| biocViews | GeneticVariability, Genetics, NetworkInference, Software |
| Version | 1.42.0 |
| In Bioconductor since | BioC 2.14 (R-3.1) (10.5 years) |
| License | GPL-2 |
| Depends | R (>= 2.15), MASS, fda, methods, stats |
| Imports | utils |
| System Requirements | |
| URL |
See More
| Suggests | |
| Linking To | |
| Enhances | |
| Depends On Me | |
| Imports Me | |
| Suggests Me | |
| Links To Me | |
| Build Report | Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
| Source Package | FRGEpistasis_1.42.0.tar.gz |
| Windows Binary (x86_64) | FRGEpistasis_1.42.0.zip (64-bit only) |
| macOS Binary (x86_64) | FRGEpistasis_1.42.0.tgz |
| macOS Binary (arm64) | FRGEpistasis_1.42.0.tgz |
| Source Repository | git clone https://git.bioconductor.org/packages/FRGEpistasis |
| Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/FRGEpistasis |
| Bioc Package Browser | https://code.bioconductor.org/browse/FRGEpistasis/ |
| Package Short Url | https://bioconductor.org/packages/FRGEpistasis/ |
| Package Downloads Report | Download Stats |