AWFisher
This is the released version of AWFisher; for the devel version, see AWFisher.
An R package for fast computing for adaptively weighted fisher's method
Bioconductor version: Release (3.20)
Implementation of the adaptively weighted fisher's method, including fast p-value computing, variability index, and meta-pattern.
Author: Zhiguang Huo
Maintainer: Zhiguang Huo <zhuo at ufl.edu>
Citation (from within R, enter
citation("AWFisher")
):
Installation
To install this package, start R (version "4.4") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("AWFisher")
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("AWFisher")
AWFisher | HTML | R Script |
Reference Manual | ||
NEWS | Text |
Details
biocViews | Software, StatisticalMethod |
Version | 1.20.0 |
In Bioconductor since | BioC 3.10 (R-3.6) (5 years) |
License | GPL-3 |
Depends | R (>= 3.6) |
Imports | edgeR, limma, stats |
System Requirements | |
URL | |
Bug Reports | https://github.com/Caleb-Huo/AWFisher/issues |
See More
Suggests | knitr, tightClust |
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 | AWFisher_1.20.0.tar.gz |
Windows Binary (x86_64) | AWFisher_1.20.0.zip (64-bit only) |
macOS Binary (x86_64) | AWFisher_1.20.0.tgz |
macOS Binary (arm64) | AWFisher_1.20.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/AWFisher |
Source Repository (Developer Access) | git clone [email protected]:packages/AWFisher |
Bioc Package Browser | https://code.bioconductor.org/browse/AWFisher/ |
Package Short Url | https://bioconductor.org/packages/AWFisher/ |
Package Downloads Report | Download Stats |