AWFisher

DOI: 10.18129/B9.bioc.AWFisher  

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

Bioconductor version: Release (3.16)

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 "4.2") 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")

 

HTML R Script AWFisher
PDF   Reference Manual
Text   NEWS

Details

biocViews Software, StatisticalMethod
Version 1.12.0
In Bioconductor since BioC 3.10 (R-3.6) (3.5 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_1.12.0.tar.gz
Windows Binary AWFisher_1.12.0.zip (64-bit only)
macOS Binary (x86_64) AWFisher_1.12.0.tgz
macOS Binary (arm64) AWFisher_1.12.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/AWFisher
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/AWFisher
Bioc Package Browser https://code.bioconductor.org/browse/AWFisher/
Package Short Url https://bioconductor.org/packages/AWFisher/
Package Downloads Report Download Stats

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