AWFisher

DOI: 10.18129/B9.bioc.AWFisher    

An R package for fast computing for adaptively weighted fisher's method

Bioconductor version: Release (3.13)

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>

Installation

To install this package, start R (version "4.1") and enter:

if (!requireNamespace("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")

 

HTML	R Script	AWFisher
PDF		Reference Manual
Text		NEWS

Details

biocViews	Software, StatisticalMethod
Version	1.6.0
In Bioconductor since	BioC 3.10 (R-3.6) (2 years)
License	GPL-3
Depends	R (>= 3.6)
Imports	edgeR, limma, stats
LinkingTo
Suggests	knitr, tightClust
SystemRequirements
Enhances
URL
BugReports	https://github.com/Caleb-Huo/AWFisher/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	AWFisher_1.6.0.tar.gz
Windows Binary	AWFisher_1.6.0.zip (32- & 64-bit)
macOS 10.13 (High Sierra)	AWFisher_1.6.0.tgz
Source Repository	git clone https://git.bioconductor.org/packages/AWFisher
Source Repository (Developer Access)	git clone git@git.bioconductor.org:packages/AWFisher
Package Short Url	https://bioconductor.org/packages/AWFisher/
Package Downloads Report	Download Stats